Asked by Cameron-Alyse Scott on Jun 09, 2024
Verified
For a study analyzing the difference between test scores before and after a treatment was applied, which statistic would be most appropriate for this study?
A) z-test for one mean
B) t-test for one mean
C) t-test for independent means
D) t-test for dependent means
T-test for Dependent Means
A statistical method used to compare the means of two related groups to determine if there is a significant difference between them.
Before and After Treatment
A research design comparing outcomes before and after a treatment or intervention to assess its effectiveness.
- Learn how to apply and interpret results of t-tests in research.
Verified Answer
RB
Robert BartonJun 12, 2024
Final Answer :
D
Explanation :
A t-test for dependent means, also known as a paired-sample t-test, is appropriate for analyzing the difference between test scores before and after a treatment because it specifically compares the means of two related samples (in this case, the same individuals' scores before and after the treatment). Other options, such as a z-test for one mean or a t-test for independent means, are not appropriate as they do not take the relationship between the two sets of scores into account.
Learning Objectives
- Learn how to apply and interpret results of t-tests in research.
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