annotated-SPSS%20Homework%20Testing%20Data%20for%20Normality%20Assignment%20Instructions.docx

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PSYC 354 Page 1 of 6 SPSS H OMEWORK : T ESTING D ATA FOR N ORMALITY A SSIGNMENT I NSTRUCTIONS O VERVIEW This assignment is designed to increase your statistical literacy and proficiency in summarizing, visualizing, and interpreting variability within data sets. You will work within SPSS, using data that are related to specific research scenarios in the behavioral sciences such as psychology, social work, and counseling. A working knowledge of how to summarize and visualize data is fundamental to being able to understand and apply research in your related field to your practice. Additionally, SPSS skills are professionally valuable, as it is one of the most used statistical software packages in behavioral science settings, both academic and professional. I NSTRUCTIONS  Download the file titled SPSS Homework Data File . It is an SPSS data file that contains a selection of data from the American Time Use Survey. This survey is conducted by the US Bureau of Labor Statistics and collects information on the amount of time people report spending on different daily activities, from childcare to work to leisure. This file contains data from the year 2019.  The file contains the following variables: o SLEEP: Time spent sleeping (minutes per day) o EATDRINK: Time spent eating and drinking (minutes per day)  You will use the information in this file to respond to a series of questions asking you to create and interpret various tables and charts in SPSS. Paste your SPSS output directly into the homework underneath each relevant question. Type written answers into the document underneath the question to which they relate.  This assignment is worth 60 points. Please review the Watch: SPSS Homework tutorial: Testing Data for Normality and Creating Z Scores in this module for directions on how to enter data in SPSS and use it to produce the final product for your assignment. The scenarios begin on the next page.

PSYC 354 Page 2 of 6 Problem Set 1: 1. For the “EATDRINK” variable, using the “Explore” command, test the data for normality (as shown in the SPSS tutorial) by performing the following steps: a. Create a table of descriptive statistics for this variable. Paste the table here: (6 pts) 2. Descriptives Statistic Std. Error Mean 57.48 1.874 Lower Bound 53.80 95% Confidence Interval for Mean Upper Bound 61.16 5% Trimmed Mean 54.33 Median 50.00 Variance 1751.937 Std. Deviation 41.856 Minimum 0 Maximum 270 Range 270 Interquartile Range 50 Skewness 1.247 .109 EATDRINK Kurtosis 2.280 .218 3. a. Run a Kolomogorov-Smirnov/ Shapiro-Wilks test for this variable. Paste the table here: (6 pts) Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. EATDRINK .125 499 .000 .915 499 .000 a. Lilliefors Significance Correction b. Create a “Normal Q-Q plot” for this variable. Paste the table here: (6 pts)

PSYC 354 Page 3 of 6 4. Create a histogram for the “EATDRINK” variable. Paste the histogram here: (6 pts) 5. In several sentences, discuss whether the daily minutes of eating and drinking people report is normally distributed. Justify your answer using information from numbers 1 and 2 above. (6 pts) The EATDRINK is not normally distributed, because the SIG in the test

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PSYC 354 Page 4 of 6 of normality is .000. Its supposed to be .05 and greater. Also the mean, median and the skewness all show some sort of normality. It just the SIG is showing 0 which means its not truly a normal distribution. Problem Set 2: 1. For the “SLEEP” variable, using the “Explore” command, test the data for normality by performing the following steps: a. Create a table of descriptive statistics for this variable. Paste the table here: (6 pts) Descriptives Statistic Std. Error Mean 541.82 6.131 Lower Bound 529.78 95% Confidence Interval for Mean Upper Bound 553.87 5% Trimmed Mean 539.16 Median 540.00 Variance 18755.729 Std. Deviation 136.952 Minimum 60 Maximum 1005 Range 945 Interquartile Range 155 Skewness .320 .109 SLEEP Kurtosis 1.176 .218 b. Run a Kolomogorov-Smirnov/ Shapiro-Wilks test for this variable. Paste the table here: (6 pts) Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk Statistic df Sig. Statistic df Sig. SLEEP .085 499 .000 .976 499 .000 a. Lilliefors Significance Correction c. Create a “Normal Q-Q plot” for this variable. Paste the table here: (6 pts)

PSYC 354 Page 5 of 6 2. Create a histogram for the “SLEEP” variable. Paste the histogram here: (6 pts)

PSYC 354 Page 6 of 6 3. Some might argue that the amount of sleep people report is normally distributed. Based on careful evaluation of ALL of the data in numbers 4 and 5, would you agree or disagree that minutes of “Sleep” is normally distributed in this sample? Support your answer with information from the data and the reading/presentations this week. (6 pts) I would say yes between the histogram and normal Q-Q graph there is an equal amount of minutes spent on the average person sleeping. The skewness is next to nothing at .320, there is no major impact from that at all. The median is 540 and the mean is 541 so very close only 1 number off. The only thing is the SIG from the normality test is at .000 again. This is supposed to indicate no equal distribution. Cleary you see by the graphs there is equal distribution happening. Sometimes the normality test could be incorrect. There may be a few outliers on 4 and 5 but overall it evenly distributed.

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