Exploratory Data Analysis_18 pot

28.0486 28.0427 28.0548 28.0616 28.0298 28.0726 28.0695 28.0629 28.0503 28.0493 28.0537 28.0613 28.0643 28.0678 28.0564 28.0703 28.0647 28.0579 28.0630 28.0716 28.0586 28.0607 28.0601 28.0611 28.0606 28.0611 28.0066 28.0412 28.0558 28.0590 28.0750 28.0483 28.0599 28.0490 28.0499 28.0565 28.0612 28.0634 28.0627 28.0519 28.0551 28.0696 28.0581 28.0568 28.0572 28.0529 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (15 of 23) [5/1/2006 9:58:55 AM] 28.0421 28.0432 28.0211 28.0363 28.0436 28.0619 28.0573 28.0499 28.0340 28.0474 28.0534 28.0589 28.0466 28.0448 28.0576 28.0558 28.0522 28.0480 28.0444 28.0429 28.0624 28.0610 28.0461 28.0564 28.0734 28.0565 28.0503 28.0581 28.0519 28.0625 28.0583 28.0645 28.0642 28.0535 28.0510 28.0542 28.0677 28.0416 28.0676 28.0596 28.0635 28.0558 28.0623 28.0718 28.0585 28.0552 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (16 of 23) [5/1/2006 9:58:55 AM] 28.0684 28.0646 28.0590 28.0465 28.0594 28.0303 28.0533 28.0561 28.0585 28.0497 28.0582 28.0507 28.0562 28.0715 28.0468 28.0411 28.0587 28.0456 28.0705 28.0534 28.0558 28.0536 28.0552 28.0461 28.0598 28.0598 28.0650 28.0423 28.0442 28.0449 28.0660 28.0506 28.0655 28.0512 28.0407 28.0475 28.0411 28.0512 28.1036 28.0641 28.0572 28.0700 28.0577 28.0637 28.0534 28.0461 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (17 of 23) [5/1/2006 9:58:55 AM] 28.0701 28.0631 28.0575 28.0444 28.0592 28.0684 28.0593 28.0677 28.0512 28.0644 28.0660 28.0542 28.0768 28.0515 28.0579 28.0538 28.0526 28.0833 28.0637 28.0529 28.0535 28.0561 28.0736 28.0635 28.0600 28.0520 28.0695 28.0608 28.0608 28.0590 28.0290 28.0939 28.0618 28.0551 28.0757 28.0698 28.0717 28.0529 28.0644 28.0613 28.0759 28.0745 28.0736 28.0611 28.0732 28.0782 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (18 of 23) [5/1/2006 9:58:55 AM] 28.0682 28.0756 28.0857 28.0739 28.0840 28.0862 28.0724 28.0727 28.0752 28.0732 28.0703 28.0849 28.0795 28.0902 28.0874 28.0971 28.0638 28.0877 28.0751 28.0904 28.0971 28.0661 28.0711 28.0754 28.0516 28.0961 28.0689 28.1110 28.1062 28.0726 28.1141 28.0913 28.0982 28.0703 28.0654 28.0760 28.0727 28.0850 28.0877 28.0967 28.1185 28.0945 28.0834 28.0764 28.1129 28.0797 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (19 of 23) [5/1/2006 9:58:55 AM] 28.0707 28.1008 28.0971 28.0826 28.0857 28.0984 28.0869 28.0795 28.0875 28.1184 28.0746 28.0816 28.0879 28.0888 28.0924 28.0979 28.0702 28.0847 28.0917 28.0834 28.0823 28.0917 28.0779 28.0852 28.0863 28.0942 28.0801 28.0817 28.0922 28.0914 28.0868 28.0832 28.0881 28.0910 28.0886 28.0961 28.0857 28.0859 28.1086 28.0838 28.0921 28.0945 28.0839 28.0877 28.0803 28.0928 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (20 of 23) [5/1/2006 9:58:55 AM] 28.0885 28.0940 28.0856 28.0849 28.0955 28.0955 28.0846 28.0871 28.0872 28.0917 28.0931 28.0865 28.0900 28.0915 28.0963 28.0917 28.0950 28.0898 28.0902 28.0867 28.0843 28.0939 28.0902 28.0911 28.0909 28.0949 28.0867 28.0932 28.0891 28.0932 28.0887 28.0925 28.0928 28.0883 28.0946 28.0977 28.0914 28.0959 28.0926 28.0923 28.0950 28.1006 28.0924 28.0963 28.0893 28.0956 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (21 of 23) [5/1/2006 9:58:55 AM] 28.0980 28.0928 28.0951 28.0958 28.0912 28.0990 28.0915 28.0957 28.0976 28.0888 28.0928 28.0910 28.0902 28.0950 28.0995 28.0965 28.0972 28.0963 28.0946 28.0942 28.0998 28.0911 28.1043 28.1002 28.0991 28.0959 28.0996 28.0926 28.1002 28.0961 28.0983 28.0997 28.0959 28.0988 28.1029 28.0989 28.1000 28.0944 28.0979 28.1005 28.1012 28.1013 28.0999 28.0991 28.1059 28.0961 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (22 of 23) [5/1/2006 9:58:55 AM] 28.0981 28.1045 28.1047 28.1042 28.1146 28.1113 28.1051 28.1065 28.1065 28.0985 28.1000 28.1066 28.1041 28.0954 28.1090 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (23 of 23) [5/1/2006 9:58:55 AM] 1. Exploratory Data Analysis 1.4. EDA Case Studies 1.4.2. Case Studies 1.4.2.7. Standard Resistor 1.4.2.7.2.Graphical Output and Interpretation Goal The goal of this analysis is threefold: Determine if the univariate model: is appropriate and valid. 1. Determine if the typical underlying assumptions for an "in control" measurement process are valid. These assumptions are: random drawings;1. from a fixed distribution;2. with the distribution having a fixed location; and3. the distribution having a fixed scale.4. 2. Determine if the confidence interval is appropriate and valid where s is the standard deviation of the original data. 3. 1.4.2.7.2. Graphical Output and Interpretation http://www.itl.nist.gov/div898/handbook/eda/section4/eda4272.htm (1 of 4) [5/1/2006 9:58:56 AM] [...]... AM] 1.4.2.8.1 Background and Data 1 Exploratory Data Analysis 1.4 EDA Case Studies 1.4.2 Case Studies 1.4.2.8 Heat Flow Meter 1 1.4.2.8.1 Background and Data Generation This data set was collected by Bob Zarr of NIST in January, 1990 from a heat flow meter calibration and stability analysis The response variable is a calibration factor The motivation for studying this data set is to illustrate a well-behaved... This Example Yourself View Dataplot Macro for this Case Study This page allows you to repeat the analysis outlined in the case study description on the previous page using Dataplot It is required that you have already downloaded and installed Dataplot and configured your browser to run Dataplot Output from each analysis step below will be displayed in one or more of the Dataplot windows The four main... window as the data are created or modified The links in this column will connect you with more detailed information about each analysis step from the case study description http://www.itl.nist.gov/div898/handbook/eda/section4/eda4274.htm (1 of 3) [5/1/2006 9:58:57 AM] 1.4.2.7.4 Work This Example Yourself 1 Invoke Dataplot and read data 1 Read in the data 1 You have read 1 column of numbers into Dataplot,... Statistical Control (i.e., no drift in location or scale, data are random, distribution is fixed) Data Set is in Statistical Control? = NO 7: Outliers? (Grubbs' test omitted due to non-randomness of the data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4273.htm (7 of 7) [5/1/2006 9:58:57 AM] 1.4.2.7.4 Work This Example Yourself 1 Exploratory Data Analysis 1.4 EDA Case Studies 1.4.2 Case Studies... the Output window, the Graphics window, the Command History window, and the data sheet window Across the top of the main windows there are menus for executing Dataplot commands Across the bottom is a command entry window where commands can be typed in Data Analysis Steps Results and Conclusions Click on the links below to start Dataplot and run this case study yourself Each step may use results from previous... in the data When this occurs, it is important to investigate whether the unexpected result is due to problems in the experiment and data collection, or is it in fact indicative of an unexpected underlying structure in the data This determination cannot be made on the basis of statistics alone The role of the graphical and statistical analysis is to detect problems or unexpected results in the data Resolving... http://www.itl.nist.gov/div898/handbook/eda/section4/eda4274.htm (3 of 3) [5/1/2006 9:58:57 AM] 1.4.2.8 Heat Flow Meter 1 1 Exploratory Data Analysis 1.4 EDA Case Studies 1.4.2 Case Studies 1.4.2.8 Heat Flow Meter 1 Heat Flow Meter Calibration and Stability This example illustrates the univariate analysis of standard resistor data 1 Background and Data 2 Graphical Output and Interpretation 3 Quantitative Output and Interpretation 4 Work... 9:58:56 AM] 1.4.2.7.3 Quantitative Output and Interpretation 1 Exploratory Data Analysis 1.4 EDA Case Studies 1.4.2 Case Studies 1.4.2.7 Standard Resistor 1.4.2.7.3 Quantitative Output and Interpretation Summary Statistics As a first step in the analysis, a table of summary statistics is computed from the data The following table, generated by Dataplot, shows a typical set of statistics SUMMARY NUMBER... 9:58:58 AM] 1.4.2.8.3 Quantitative Output and Interpretation 1 Exploratory Data Analysis 1.4 EDA Case Studies 1.4.2 Case Studies 1.4.2.8 Heat Flow Meter 1 1.4.2.8.3 Quantitative Output and Interpretation Summary Statistics As a first step in the analysis, a table of summary statistics is computed from the data The following table, generated by Dataplot, shows a typical set of statistics SUMMARY NUMBER... the data) 4: Randomness Autocorrelation 28.01635 0.002008 (28.0124,28.02029) NO = 0.063495 = (0.060829,0.066407) = YES = 0.972158 http://www.itl.nist.gov/div898/handbook/eda/section4/eda4273.htm (6 of 7) [5/1/2006 9:58:57 AM] 1.4.2.7.3 Quantitative Output and Interpretation Data Are Random? (as measured by autocorrelation) = NO 5: Distribution Distributional test omitted due to non-randomness of the data . AM] 28.0981 28.1045 28.1047 28.1042 28.1146 28.1113 28.1051 28.1065 28.1065 28.0985 28.1000 28.1066 28.1041 28.0954 28.1090 1.4.2.7.1. Background and Data http://www.itl.nist.gov/div898/handbook/eda/section4/eda4271.htm (23 of 23) [5/1/2006 9:58:55 AM] 1. Exploratory Data Analysis 1.4. EDA Case Studies 1.4.2 AM] 1. Exploratory Data Analysis 1.4. EDA Case Studies 1.4.2. Case Studies 1.4.2.7. Standard Resistor 1.4.2.7.3.Quantitative Output and Interpretation Summary Statistics As a first step in the analysis, . in the data. This determination cannot be made on the basis of statistics alone. The role of the graphical and statistical analysis is to detect problems or unexpected results in the data. Resolving