Titlebook: Excel 2013 for Human Resource Management Statistics; A Guide to Solving P Thomas J. Quirk,Julie Palmer-Schuyler Textbook 2016 The Editor(s)

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https://doi.org/10.1007/978-1-4613-0061-8nd one measurement “number” on each of these. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of instead of only one group. The nine steps for hypothesis-testing using the two-group t-test are presented, including the decision rule for either a

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https://doi.org/10.1007/3-540-51525-9ation mean for the data using either the 95?% confidence interval about the mean (Chap. . of this book) or the one-group t-test of the mean (Chap. . of this book). You have also learned how to test for the difference between the means for two groups of to determine if this difference was a “signific

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Sample Size, Mean, Standard Deviation, and Standard Error of the Mean,nd 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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Random Number Generator,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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One-Group t-Test for the Mean, mean. This test 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 usin

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Two-Group t-Test of the Difference of the Means for Independent Groups,nd one measurement “number” on each of these. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of instead of only one group. The nine steps for hypothesis-testing using the two-group t-test are presented, including the decision rule for either a

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