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Testing Data for Normality: A Problem Set for Statistics in Social Sciences, Thesis of Accounting

Western Governors University (WGU)Accounting

This problem set focuses on testing data for normality using spss. It guides students through the process of analyzing data for normality using descriptive statistics, kolmogorov-smirnov/shapiro-wilks tests, q-q plots, and histograms. The set includes two problems, each involving a different variable (eating_drinking and sleeping), and encourages students to interpret the results and justify their conclusions based on the data and course materials.

Typology: Thesis

2024/2025

Available from 02/09/2025

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T
ESTING
DATA FOR
N
O
R
M
A
LI
T
Y
Statistics for social sciences, Liberty University
PSYC354 (B04)
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)
D
e
s
c
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i
p
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e
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Statistic
Std.
Error
EATING_DRINKING
Mean
66.81 2.038
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Download Testing Data for Normality: A Problem Set for Statistics in Social Sciences and more Thesis Accounting in PDF only on Docsity!

TESTING DATA FOR NORMALITY

Statistics for social sciences, Liberty University PSYC354 (B04) 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_DRINKING Mean^ 66.81^ 2.

95% Confidence Interval for Mean Lower Bound 62. Upper Bound 70. 5% Trimmed Mean 63. Median 60. Variance 2075. Std. Deviation 45. Minimum 0 Maximum 285 Range 285 Interquartile Range 60 Skewness 1.291. Kurtosis 2.617. b. Run a Kolomogorov-Smirnov/ Shapiro-Wilks test for this variable. Paste the table here: (6 pts) Tests of Normality Kolmogorov-Smirnova^ Shapiro-Wilk Statistic df Sig. Statistic df Sig. EATING_DRINKING .133 500 .000 .914 500. a. Lilliefors Significance Correction c. Create a “Normal Q-Q plot” for this variable. Paste the table here: (6 pts)

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 Statistic Std. Error SLEEPING Mean^ 557.36^ 6. 95% Confidence Interval for Mean Lower Bound 545. Upper Bound 569. 5% Trimmed Mean 556. Median 555. Variance 18719. Std. Deviation 136. Minimum 0 Maximum 1120 Range 1120 Interquartile Range 150 Skewness .059. Kurtosis 1.796. b. Run a Kolomogorov-Smirnov/ Shapiro-Wilks test for this variable. Paste the table here: (6 pts) Tests of Normality Kolmogorov-Smirnova^ Shapiro-Wilk Statistic df Sig. Statistic df Sig. SLEEPING .064 500 .000 .980 500. a. Lilliefors Significance Correction

c. Create a “Normal Q-Q plot” for this variable. Paste the table here: (6 pts) d. Create a histogram for the “SLEEPING” variable. Paste the histogram here: (6 pts)