# RES-866 Module 5 Problem Set - Some commonly employed statistical analyses…

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RES-866 Module 5 Problem Set

Approaches to Research Design and Data Analysis -Quantitative Data Analysis Correlational Analysis

Grand Canyon University

Some commonly employed statistical analyses include correlation and regression. In this assignment, you will practice correlation and regression techniques from an SPSS data set.

General Requirements:

Use the following information to ensure successful completion of the assignment:

• Review "SPSS Access Instructions" for information on how to access SPSS for this assignment.

• Access the document, "Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide" to complete the assignment.

• Download the file "Bank.sav" and open it with SPSS. Use the data to complete the assignment.

• Download the file "Census.sav" and open it with SPSS. Use the data to complete the assignment.

Directions:

Perform the following tasks to complete this assignment:

1. Locate the data set "Bank.sav" and open it with SPSS. Follow the steps in section 10.15 Learning Activity as written. Answer questions 1-3 in the activity based on your observations of the SPSS output.Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

2. Locate the data set "Census.sav" and open it with SPSS. Follow the steps in section 11.16 Learning Activity as written. Answer questions 1, 2, 3, and 5 in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

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