Activity #3 You will submit one Word document for this activity. You will create this Word document by
Activity #3
You will submit one Word document for this activity. You will create this Word document by cutting and pasting SPSS output into word.
Part A
. Creating Visual Displays of Data
. For this activity you will copy and paste output you created into a Word document.
- 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.
- Using the data set: ChickFlick.sav, create a clustered 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.
- 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.
- 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.
- 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.
Part 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 5 points (half the assigned points for this activity). To receive full credit you must show a high level of understanding the importance of exploring data visually.
Deliverable: Word Document
