This document is a homework assignment for PSYC 355: Statistics in Psychology at Liberty University. It requires students to utilize SPSS software to analyze a dataset from the American Time Use Survey, specifically focusing on variables related to time spent sleeping and eating/drinking. The assignment is designed to build practical skills in data summarization, visualization, and interpretation – skills crucial for understanding and applying research in behavioral sciences.
This assignment is intended for students enrolled in the course who need to demonstrate proficiency in using SPSS for statistical analysis. It’s completed as part of the course’s graded work and builds upon a tutorial on testing data for normality and creating Z-scores.
This assignment focuses *solely* on applying learned techniques to a specific dataset. It does not teach the underlying statistical concepts or provide in-depth explanations of normality testing. Students are expected to already understand these concepts from course lectures and tutorials.
The full assignment includes: instructions for downloading and using the SPSS data file, specific questions requiring the creation of descriptive statistics tables, Kolmogorov-Smirnov and Shapiro-Wilk tests, Normal Q-Q plots, and histograms within SPSS. It also requires written interpretations of the results to determine if the data is normally distributed. This preview *does not* include the SPSS output or the completed analyses; it only describes the assignment’s requirements.
