19 Apr 7A. Complete the following:What are the most commo
7A. Complete the following:What are the most common reasons you would select a non-parametric test over the parametric alternative?Discuss the issue of statistical power in non-parametric tests (as compared to their parametric counterparts). Which type tends to be more powerful? Why?For each of the following parametric tests, identify the appropriate non-parametric counterpart:Dependent t testIndependent samples t testRepeated measures ANOVA (one-variable)One-way ANOVA (independent)Pearson CorrelationLength: 250 words or less for each question7B.In this assignment, you will perform the non-parametric version of the tests you used previously. In each case, assume that you opted to use the non-parametric equivalent rather than the parametric test.Using the data files from earlier assignments, complete the following tests and paste your results into your document:Activity 4a: non-parametric version of the dependent t testActivity 4areformatted: non-parametric version of the independent t testActivity 4C: non-parametric version of the single factor ANOVA(1c) Complete the following:Part AIn Part A, you will be creating visual displays of data. You will copy and paste output you created while working in Chapter 4 into an MS Word document. Please read the instructions below to ensure you are pasting the correct material into your document (In this chapter, you create many charts but not all are required for this assignment).Using the data set: DownloadFestival.sav, create a boxplot for males and females for the variable Day1. It is important that you change the outlier identified to 2.02 prior to creating the boxplot. Be sure to save the data set with a new name, indicating it is the corrected data set (outlier identified and corrected). Save this boxplot, with an appropriate title in your document.Using the data set: ChickFlick.sav, create a simple bar chart for independent means. The variables you will use are: Arousal, Film, and Gender (grouping variable). Be sure to display error bars and save your chart with an appropriate title in your document.Using the data set: Hiccups.sav, create a clustered bar chart for related means. The variables you will use are: Baseline, Tongue Pulling, Carotid Artery Massage, Digital Rectal Massage. Be sure to display error bars, include labels for the X- and Y-axis, and save your chart with an appropriate title in your document.Using the data set: Text Messages.sav (note: you may see an additional data set with the same name: TextMessages.sav either will create the correct output), create a clustered bar chart for mixed designs. The variables you will use are: Time1, Time2, and Group. Be sure to display error bars, include labels for the X- and Y-axis, and save your chart with an appropriate title in your document.Using the data set: Exam Anxiety.sav, create a scatterplot that includes a regression line. The variables you will use are: Exam Performance and Exam Anxiety. Be sure to include the regression line and save your chart with an appropriate title in your document.Part BWhy Exploratory Data Analysis? Write a short paragraph that highlights your understanding of why exploratory data analysis is a critical part of any analytical strategy (500 Word limit). To receive full credit for this assignment, you must show a high level of understanding the importance of exploring data visually.
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