Syllabus business analytics data analysis and decision making using excel
Business analytics data analysis and decision making 5th by wayne l winston apendix a
... English There is no single best way to write a statistical report However, there are some bad habits that practically all readers will object to, and there are some good habits that will make ... presents a great statistical analysis, might never be read at all © 2015 Cengage Learning All Rights Reserved May not be scanned, copied or duplicated, or posted to a publicly accessible...
Business analytics data analysis and decision making 5th by wayne l winston chapter 01
... given more people the power and responsibility to analyze data and make decisions A large amount of data already exists and will only increase in the future © 2015 Cengage Learning All Rights Reserved ... problem There are different types of models, and each can be a valuable aid in solving a real problem: Graphical models Algebraic models Spreadsheet models © 2015 Cenga...
Business analytics data analysis and decision making 5th by wayne l winston chapter 02
... empirical rules should be applied with caution, especially when the data are clearly skewed, as illustrated by the calculations for baseball salaries below © 2015 Cengage Learning All Rights Reserved ... to a publicly accessible website, in whole or in part Example 2.7: Catalog Marketing.xlsx (slide of 2) Objective: To illustrate Excel tables for analyzing the HyTex data Solution:...
Business analytics data analysis and decision making 5th by wayne l winston chapter 03
... Objective: To learn methods in StatTools for breaking down baseball salaries by various categorical variables Solution: Data set contains the same 2011 baseball data examined previously, as well as ... in whole or in part Example 3.2: Baseball Salaries 2011 Extra.xlsx (slide of 2) Create side -by- side boxplots, by selecting Box-Whisker Plot from the Summary Graphs dropdown list...
Business analytics data analysis and decision making 5th by wayne l winston chapter 04
... particularly in games of chance, can be calculated by using an equally likely argument However, many other probabilities, especially those in business situations, cannot be calculated by equally likely ... to Simulation (slide of 2) Random numbers generated with Excel’s RAND function are said to be uniformly distributed between and because all decimal values between and are equa...
Business analytics data analysis and decision making 5th by wayne l winston chapter 05
... mean Almost all fall within three standard deviations of the mean For these rules to hold with real data, the distribution of the data must be at least approximately symmetric and bell-shaped ... duplicated, or posted to a publicly accessible website, in whole or in part Example 5.12: Basketball Simulation.xlsx Objective: To formulate a nonbinomial model of basketball shooting, a...
Business analytics data analysis and decision making 5th by wayne l winston chapter 06
... particularly useful for more complex decision problems It clearly shows the sequence of events (decisions and outcomes), as well as probabilities and monetary values © 2015 Cengage Learning All ... duplicated, or posted to a publicly accessible website, in whole or in part Sensitivity Analysis It is important, especially in real-world business problems, to accompany any decisi...
Business analytics data analysis and decision making 5th by wayne l winston chapter 07
... customer was billed), and Amount (of the bill) Generate 25 random samples of size 15 each from the small customers only, calculate the average amount owed in each random sample, and construct ... example Then a simple random sample of clusters can be chosen Once the clusters are selected, it is typical to sample all of the population members in each selected cluster © 2015 Cengage L...
Business analytics data analysis and decision making 5th by wayne l winston chapter 08
... example, two assumptions lead to the confidence interval: First, you might question whether the sample is really a random sample It is likely a convenience sample, not really a random sample ... are robust to violations of normality, and the normal population assumption is less crucial for larger sample sizes because of the central limit theorem © 2015 Cengage Learning All Rights Reserved...
Business analytics data analysis and decision making 5th by wayne l winston chapter 09
... the null hypothesis, specifically, the borderline value between the null and alternative hypotheses This value is usually labeled μ0 To run the test, referred to as the t test for a population ... Example 9.7: Testing Normality.xlsx (slide of 5) To run the Lilliefors test for the Width variable in Example 9.7, select Lilliefors Test from the StatTools Normality Tests dropdown list ...
Business analytics data analysis and decision making 5th by wayne l winston chapter 10
... the multiplicative learning model is reasonable by creating a scatterplot of Log(Time) versus Log(Batch) The multiplicative model implies that it should be approximately linear The relationship ... several, usually equally spaced, points in time Time series variables are usually related to their own past values—a property called autocorrelation—which adds complications to the analysis...
Business analytics data analysis and decision making 5th by wayne l winston chapter 11
... copied or duplicated, or posted to a publicly accessible website, in whole or in part Example 11. 2: Heights Simulation.xlsx (slide of 2) Objective: To illustrate the problem of multicollinearity ... much larger or smaller than predicted by the regression line, and its residual is abnormally large in magnitude An example of this type of outlier is shown below © 2015 Cengage Learning...
Business analytics data analysis and decision making 5th by wayne l winston chapter 12
... sometimes substantially The length of a seasonal cycle is generally one year, while the length of a business cycle is generally longer than one year and its actual length is difficult to predict ... quarters and a Log(Sales) variable Then use multiple regression, with Log(Sales) as the dependent variable, and Time, Q1, Q2, and Q3 as the explanatory variables © 2015 Cengage Learn...
Business analytics data analysis and decision making 5th by wayne l winston chapter 13
... cell, contains the value of the objective Solver systematically varies the values in the changing cells to optimize the value in the objective cell The cell must be linked to the changing cells ... problem algebraically Model it in Excel Find its optimal solution with Solver Solve it graphically Ask a number of what-if questions about the completed model © 2015 Cengage Learning All Ri...
Business analytics data analysis and decision making 5th by wayne l winston chapter 14
... oil and 10,000 barrels of crude oil available Chandler sells gasoline and heating oil, which are produced by blending the two crude oils together Each barrel of crude oil has a quality level ... have local optimal solutions that are not the global optimal solution A local optimal solution is one that is better than all nearby points The global optimum is the one that beats all p...
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