Lecture Business research methods (12e) Chapter 14: Sampling

Lecture Business research methods (12e) Chapter 14: Sampling. After studying this chapter you will be able to understand: The two premises on which sampling theory is based, the accuracy and precision for measuring sample validity, the five questions that must be answered to develop a sampling plan,... Đề tài Hoàn thiện công tác quản trị nhân sự tại Công ty TNHH Mộc Khải Tuyên được nghiên cứu nhằm giúp công ty TNHH Mộc Khải Tuyên làm rõ được thực trạng công tác quản trị nhân sự trong công ty như thế nào từ đó đề ra các giải pháp giúp công ty hoàn thiện công tác quản trị nhân sự tốt hơn trong thời gian tới.

Chapter 14 SAMPLING 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc All rights reserved 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d Learning Objectives Understand  The two premises on which sampling theory is based  The accuracy and precision for measuring sample validity  The five questions that must be answered to develop a sampling plan 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-2 Learning Objectives Understand  The two categories of sampling techniques and the variety of sampling techniques within each category  The various sampling techniques and when each is used 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-3 Pull Quote “We have to hear what’s being said in a natural environment, and social media is an obvious place to this, but we also have to go and discover the opinions that are not being openly shared Only then can we understand the dichotomy between the public and private persona.” 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 Ben Leet, sales director uSamp fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-4 The Nature of Sampling  Population  Population Element  Sampling Frame 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e  Census e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86  Sample 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-5 Why Sample? Availability Availability of of elements elements Greater Greater speed speed Lower Lower cost cost Sampling Sampling provides provides 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e Greater accuracy e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-6 What Is a Sufficiently Large Sample? “In recent Gallup ‘Poll on polls,’ When asked about the scientific sampling foundation on which polls are based most said that a survey of 1,500 – 2,000 respondents—a larger than average sample size for national polls—cannot represent the views of all Americans.” 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 Frank Newport The Gallup Poll editor in chief The Gallup Organization 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-7 When Is a Census Appropriate? Feasible Necessary 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-8 What Is a Valid Sample? Accurate Precise 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-9 Sampling Design within the Research Process 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-10 Double Sampling Advantages Disadvantages  May reduce costs if first  Increased costs if stage results in enough data to stratify or cluster the population discriminately used 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-22 Nonprobability Samples No need to generalize Feasibility Feasibility Limited Limited objectives objectives 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b Time Time dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b Cost 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-23 Nonprobability Sampling Methods Convenience Convenience Judgment Judgment Quota Quota 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b Snowball Snowball dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-24 Key Terms  Area sampling  Census  Multiphase sampling  Nonprobability  Cluster sampling  Convenience sampling sampling  Population  Population element  Population parameters  Population proportion of incidence  Probability sampling  Disproportionate stratified sampling  Double sampling  Judgment sampling 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-25 Key Terms  Proportionate  Simple random stratified sampling  Quota sampling  Sample statistics  Sampling  Sampling error  Sampling frame  Sequential sampling sample  Skip interval  Snowball sampling  Stratified random sampling  Systematic sampling  Systematic variance 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-26 Chapter 14 ADDITIONAL DISCUSSION OPPORTUNITIES 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc All rights reserved 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d Snapshot: Ford’s New Sample Dealers Dealers control control 75% 75% of of advertising advertising Recruited Recruited 30 30 influential influential dealers dealers Morpace Morpace conducted conducted focus focus groups groups 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 72-hour 72-hour marathon marathon of of questions questions 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 Gave Gave voice voice to to important important group group 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-28 Snapshot: Research for Good 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-29 PicProfile: Mixed-Access Sampling 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-30 CloseUp: Keynote Experiment 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-31 CloseUp: Keynote Experiment (cont.) 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-32 Pull Quote “The proof of the pudding is in the eating By a small sample we may judge of the whole piece.” Miguel de Cervantes Saavedra author 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-33 PulsePoint: Research Revelation 80 The average number of text messages sent per day by American teens 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-34 Chapter 14 SAMPLING 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e McGraw-Hill/Irwin Copyright © 2014 by The McGraw-Hill Companies, Inc All rights reserved 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d Photo Attributions Slide Source ©Ocean/Corbis Chris Satttlberger/Getty Images 12 Jochen Sands/Getty Images 13 Getty Images 15 KidStock/Getty Images 23 Ryan McVay/Getty Images 6f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 6e0cf7 b60da 52f6cf66 b5ff294 1e747 e 24 Photodisc/Getty Images e1b11a9 32da b860 f81 b6f9bdc32 ecac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f8 932dab860 f81b6f9 bdc32e cac7776e 0cf7b6 0da5 2f6 cf66b5ff2 941e 747e6 f87e 1b1 1a 28 David and Les Jacobs/Blend Images 860f8 1b6 f9bdc32eca c77 76e0 cf7 b60 da52 f6cf66 b5ff29 41e74 7e6f87e1 b11a9 32da b f81b6f9 bdc32e cac7 776e0 cf7b6 0da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b86 6f9bdc3 2eca c77 76e0 cf7 b60 da52 f6cf66 b5ff294 1e74 7e6f87e1 b11a9 32dab860 f81 b dc32e cac7776 e0cf7b60da5 2f6 cf66b5ff2941e 747e 6f87 e1b1 1a932 dab8 60f81b6 f9 b 32eca c7776 e0cf7 b60da 52f6cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc c7776 e0cf7b60da 52f6 cf66b5ff2941 e747e 6f8 7e1b11a932 dab8 60f81b6 f9 bdc32e ca e0cf7b60 da52 f6 cf6 6b5ff2 941e7 47e6 f87e 1b11a 932da b860 f81 b6 f9bdc3 2eca c777 fc3a3 f93a 08582 6d66a 60f835 d2406 ea15 f7e7 b88cbf5e9cb78 cc9e16 d1072 e24 c3ee4 7d0800 c6a8 0136 f54 da448 1c2 b397 7f6 f33 e0be 8a4b3 d678 cc5b77 828 cc3 7ae38 f66a4 9c84a7 1dc1cb825a 4f1 d7c732fb9a4 e5765 f83 10c1984 f96 1e06 cf3 fc71f185b5ad74 b fac7b7b2 0dfcfdcdf1 cf4 2b2 fc6 b5a c1e9 c4a51ae fef5b7 de7f4b3 cc9e5d780d33d5 94 9e3f2 1bf4656 147e4 1c5 63d1 76a97 9e946 6be8 9c63 c0e 2907 0df0e654 8e28 c32 c6 f8f7 7ea8e433 c9 f051 8c9 06b9a 684d9d02 5cb598 854db148 3a8024 9bc348 7e1be 4646 2d7a b f21d145b5b08 b8e1 f8 c76 f42 b4ce 759fb93 c48 e7f8a41e7 8571e 64a2 f48b0e5 c8d4 bb8 df3 fa34df8 f2c9de ba5dcb1e e30bc7d67cb1d4163 72d9 47cdab0 1c5 76b2 b2efb3 c49a2 08d258 539 bc6 96d5a 3b1a4 c49 7180 bae30 dc4 4793a3 dc5d19 4ad09 3cb5c3f9 9f2 02398 30ff2d29 b07 f39 d69e d7d2 e358bfca d25b40c5434 0e68a b4ee2 b76e0 b2a8 65300 be6e 95f4 fcb5fd1f4 934 f29e7 ee6d7cfa 31ddc0 5b49 f94 3c1 e22 f3b5 c0e4a d46 2e7c96fc5b 3f9 f11 c9f0 8a6db91a1 7118e 3de6 3e7a02 f9 c1d19137 7d0a7a 34d40ff5b8 453 f6f4e0e 59e15a9 f853 8397 40b3 e9ac33e6fc51 7d8 b739 3a5076 c67 d16e 7cc03df1 b1f0b9 fc0 46 3a67e368 0a4d3d50 cf8d5 f476 8201 e328 cbbba50 c741 ebd4f6 b2e1 0316e d218 e1d2 918 0d4204 90efb3ab05fb73 c76 f04 f402 4609 30bbbd8c70 8725 e74dc8 cf9a 5b23 c6 ce52 6d 14-36