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Titlebook: Jahrbuch StadtRegion 2019/2020; Schwerpunkt: Digital Christine Hannemann,Frank Othengrafen,Simon Güntne Book 2020 Springer Fachmedien Wiesb

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Tanja Möldersation 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 to determine if this difference was a “significant”
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Ana Rogojanusearch study and only one measurement (i.e., variable) “number” on each of these. This chapter asks you to change gears again and to deal with the situation in which you are measuring two variables instead of only one variable, and you are trying to discover the “relationship” between these variable
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Jens Wietschorkeng . 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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and one measurement “number” on each of these people. This chapter asks you to change gears and deal with the situation in which you are measuring two groups of people instead of only one group of people. The nine steps for hypothesis-testing using the two-group t-test are presented, including the
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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 Appendix . of this book. An additional pract
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Kerstin Schenkel,Torsten Wißmannwith 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
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Solving Practical Problems. is the first book to capitalize on these improvementsby teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work...Each chapter explains statistical formulas and directs the reader to use Excel commands to solve speci
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