Section A. Creating Visual Displays of Data. For this portion of the activity, you will export output you created while working in SPSS for Chapter 4 into a Word document. Please read the instructions below to ensure you are including the correct material in your document (This chapter has you create many charts and not all are required for Part #3).

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 Part #3 Word 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 Part #3 Word 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 Part#3 Word 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 Part #3 Word 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 Part #3 Word document. Section B. Why 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). This answer is worth half the assigned points for this activity. To receive full credit, you must show a high level of understanding related to the importance of exploring data visually.

Your submittal should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Where applicable your submittal should reflect scholarly writing and current APA standards. Review APA Form and Style.

Be sure to adhere to Northcentral University’s Academic Integrity Policy. View the Northcentral Academic Integrity Tutorial to refresh your knowledge of how to achieve academic integrity.