In an attempt to compare and evaluate the significant difference between male and female students test scores, an author used paired samples t-test. Was the analysis tool the most appropriate?
Which analysis tool could the author have used apart from the paired samples t-test?
Your inputs and suggestions are well appreciated 🙏🙏🙏.
Using a paired samples t-test to compare test scores between male and female students assumes that the same group of students were tested twice (once as males and once as females). If this is not the case, then a paired samples t-test would not be appropriate.
Instead, if you wants to compare the test scores of different male and female students, an independent samples t-test would be more appropriate. This test compares the means of two independent groups to determine if there is a significant difference between them.
Additionally, if the data does not meet the assumptions of parametric tests like the t-test (e.g., normal distribution, homogeneity of variances), you could consider using non-parametric tests such as the Mann-Whitney U test, which compares the medians of two independent groups. This test is robust to violations of normality and can be used when the assumptions of the t-test are not met.
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