Independent T-Test Using SPSS: Step-by-Step Study Guide

Shared by SteadyAtlas9417 November 2, 2026 PDF
Computer Science Statistics 26 pages $26
Page 1 shows the heading 'Independent T-Test using SPSS' and the objectives of the test.
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About this document

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Subject
Computer Science, Statistics

This guide explains how to perform an independent t-test using SPSS. It covers the assumptions, setup, and interpretation of the results. It is useful for students who need to compare means between two unrelated groups on the same continuous, dependent variable.

What's inside

  • Objectives of the independent t-test
  • Assumptions for the independent t-test
  • Background to the example
  • Setup in SPSS
  • Descriptives and visual presentation
  • Testing assumptions

Who it is for: For students learning to use SPSS for statistical analysis. (Undergraduate)

#comparing means #data analysis #guide #independent t-test #spss #statistical analysis #t-test

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Summary

An independent t-test compares the means of two unrelated groups on a continuous variable. Students learn how to perform this test using SPSS, including setting up data, testing assumptions and interpreting results.

What is an independent t-test?

An independent t-test compares the means of two groups. It tests the equality of variances and provides descriptive statistics. The test has several assumptions, including normally distributed data and similar variances between groups.

Example of an independent t-test

The example investigates whether exercise or weight loss is more effective in lowering cholesterol levels. A random sample of overweight, inactive males was split into two groups: one for exercise and one for a calorie-controlled diet.

Setup and assumptions

Setting up the test in SPSS involves creating a grouping variable. Assumptions include normally distributed data and similar variances. If these assumptions are not met, a non-parametric test may be needed.

Testing procedure in SPSS

The procedure in SPSS involves using the 'Analyze' menu to compare means. The test checks for equal variances using Levene's Test. The results determine whether to use the equal or unequal variances column.

Key terms

Independent variable
The variable that divides the data into two groups.
Dependent variable
The continuous variable that is measured in both groups.
Levene's test
A test for the equality of variances between two groups.
Normality
The assumption that the data is approximately normally distributed.
SPSS
A software package used for statistical analysis.
Descriptive statistics
Statistics that summarise the main features of the data.

Questions this document helps with

  • How do you set up an independent t-test in SPSS?
  • What assumptions does an independent t-test have?
  • How do you interpret the results of Levene's Test?

Summary written with AI from the document's text.

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