SPSS Homework Testing Data for Normality Template

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Liberty University *

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354

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Psychology

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Feb 20, 2024

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docx

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PSYC 354 S TEPHANIE G EORGE SPSS H OMEWORK : T ESTING D ATA FOR N ORMALITY T EMPLATE Problem Set 1: 1. For the “EATING_DRINKING” 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) Descriptives Statistic Std. Error EATING_DRINKIN G Mean 66.81 2.038 95% Confidence Interval for Mean Lower Bound 62.81 Upper Bound 70.81 5% Trimmed Mean 63.43 Median 60.00 Variance 2075.729 Std. Deviation 45.560 Minimum 0 Maximum 285 Range 285 Interquartile Range 60 Skewness 1.291 .109 Kurtosis 2.617 .218 b. Run a Kolomogorov-Smirnov/ Shapiro-Wilks test for this variable. Paste the table here: (6 pts) 2. Tests of Normality Kolmogorov-Smirnov a Shapiro-Wilk
PSYC 354 Statistic df Sig. Statistic df Sig. EATING_DRINKIN G .133 500 <.001 .914 500 <.001 a. Lilliefors Significance Correction a. Create a “Normal Q-Q plot” for this variable. Paste the table here: (6 pts) 3. Create a histogram for the “EATING_DRINKING” variable. Paste the histogram here: (6 pts)
PSYC 354 4. In several sentences, discuss whether the daily minutes of eating and drinking is normally distributed in this sample. Justify your answer using information from numbers 1 and 2 above. (6 pts) Based on the results of the data set given for eating and drinking it is safe to state that the scores are not normally distributed. We can first support this statement by reviewing the “SIG” box on the normality test. The score is <.001 which is way below the expected normal score of .05 or higher. Secondly, if you review the results of the Q-Q plot graph you can clearly see that most of the dots do not fall along the linear line of the graph. This further supports that the data set is not normally distributed. Problem Set 2: 1. For the “SLEEPING” 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
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