Titlebook: Excel 2013 for Business Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 Springer International Publishing Switzerland 2015 A

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Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing,, 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 answ

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One-Group t-Test for the Mean,ce interval about the mean (.) and the one-group t-test is explained. Three practice problems are given at the end of the chapter to test your Excel skills, and the answers to these problems appear in Appendix A of this book. An additional practice problem is presented in the Practice Test given in

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Correlation and Simple Linear Regression,th 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 predict one va

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Multiple Correlation and Multiple Regression,ite the multiple regression equation for the data. Finally, the Excel commands needed to find the correlation between all of the variables are 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 be

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One-Way Analysis of Variance (ANOVA),oups to see if they are “significantly different from each other.” If this overall ANOVA test is 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

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Institut für Baustatik und Konstruktionnd the standard error of the mean (s.e.) of these scores. All three of these statistics are basic to the study of statistics and are used frequently within many additional statistical tests. The formulas are presented, explained, and a practical example is given for each formula that shows how the f

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Proposals for Further Improvements,from which you want to take a random sample. You will learn how to use Excel to create frame numbers for generating random numbers, why a set of duplicate frame numbers is important, and the Excel commands needed to sort the frame numbers into a random sequence. In addition, you will learn how to pr

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Governing Differential Equations,compares the mean of your data set against the hypothesized population mean for your data to determine if the difference between these two values is “l(fā)arge enough” to be considered a “significant difference.” The formula is presented, explained, and a practical example is given using your calculator