Independent t test spss

The independent-samples t-test is one of several inferential statistical tests in the t-test family. The purpose of the independent-samples t-test is to examine whether there is a statistically significant group mean (average) difference on a scale (numerical) business outcome variable. For example, a researcher might be interested in knowing whether night shift workers produce more widgets, on average, than day shift workers. The independent-samples t-test is used when the researcher has one nominal (categorical) independent variable, with two levels, day shift and night shift, and one scale (numerical) dependent variable (e.g., monthly number of widgets produced).

To prepare for this Assignment, review the Paul and Garg (2014) article, focusing on the independent-samples t-test. Also, review the Week 3 Assignment Exemplar and Week 3 Assignment Template documents, as well as the tutorial videos, provided in this week’s Resources. Be sure to review the footnotes in the Week 3 Assignment Exemplar, as the footnotes provide additional explanatory information. Consider how independent-samples t-tests can impact the progress or results of a doctoral research study.

Submit a synthesis of statistical findings derived from independent-samples t-tests that follows the Week 3 Assignment Template. Your synthesis must include the following:

A description and justification for using the independent-samples t-test
A properly formatted research question
A properly formatted H0(null) and H1 (alternate) hypothesis
An APA-formatted Results section for the independent-samples t-test, to include the following:
Identification of the statistical test
Identification of independent and dependent variables, including identification of the number of levels for the independent variable
Identification of data assumptions and assessment outcome
Inferential results in correct APA statistical notation format