Titlebook: Excel 2007 for Business Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2012 Springer Science+Business Media New York 2012 Applie

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Multiple Correlation and Multiple Regression,ng . to predict Y instead of a single predictor as we discussed in Chap. 6 of this book. The resulting statistical procedure is called “multiple correlation” because it uses two or more predictors, each weighed differently in an equation, to predict Y. The job of multiple correlation is to determine

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One-Way Analysis of Variance (ANOVA),ation mean for the data using either the 95% confidence interval about the mean (Chap. 3 of this book) or the one-group t-test of the mean (Chap. 4 of this book). You have also learned how to test for the difference between the means for two groups of people to determine if this difference was a “si

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Practice Test,mers. Subaru of America mails a “SERVICE EXPERIENCE SURVEY” to customers who have recently used the Service Department for their car. Let’s try your Excel skills on Item #10e of this survey (see Fig. 10.1).

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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,ecific number of decimal places, how to save an Excel worksheet into your computer, and how to print out an Excel worksheet. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Chap. 9 of this book. An additional practice

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Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,st, and you will be given specific explanations of how to write both the result and the conclusion of a hypothesis test. Alternative ways to summarize the result of a hypothesis test are also presented. Three practice problems are given at the end of the chapter to test your Excel skills, and the an

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Correlation and Simple Linear Regression,along with the Excel steps needed to create a chart summarizing the relationship between the two variables. You will learn how to use Excel to draw the “best-fit line” through the data points on a scatterplot and how to determine the equation for this line so that you can use this equation to predic

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Multiple Correlation and Multiple Regression,tiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all the variables is explained so that you can create a “correlation matrix” for your data set. You will learn how to read this correlation matrix to determine the correlation between any two v

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One-Way Analysis of Variance (ANOVA),roups to see if they are “significantly different from each other.” If this overall ANOVA test produces a significant result, you will learn how to test the hypotheses comparing any two groups using an ANOVA t-test formula. This formula is presented, explained, and a practical business example is us