Titlebook: Excel 2013 for Social Sciences Statistics; A Guide to Solving P Thomas J. Quirk Textbook 2015 The Editor(s) (if applicable) and The Author(

GRIEF

One-Group t-Test for the Mean,ean. 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 using

APRON

Stricture

Correlation and Simple Linear Regression,research study and only one measurement (i.e., variable) “number” on each of these people. 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

一小塊

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

Annotate

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 “s

沙漠

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 Appendix A of this book. An additional pract

周興旺

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

奇怪

hidebound

Fluctuate

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