Hi,
Your question is not clear. You described just the data but what is your research question?
Good luck,
Hamid
My research question is whether there is gender difference on the reminder use@Hamid. Only 12 females were there and 58 males.
Hi,
Independent two sample t-test (if you think sample size for women group is large enough), otherwise use its non-parametric version Mann–Whitney U test.
I would use non-parametric test.
I hope this answer helps you.
Good luck,
Hamid
Prachi Tiwari
For unequal sample sizes, commonly used test is the Welch's t-test (also known as the unequal variances t-test). Welch's t-test is an adaptation of the independent samples t-test that does not assume equal variances between the groups.
1. Check for Normality and Homogeneity: First, ensure that both groups follow approximately normal distributions. You can use graphical methods (e.g., histograms, Q-Q plots) or statistical tests (e.g., Shapiro-Wilk test) to assess normality. Additionally, test for homogeneity of variances between the groups, for example, using Levene's test.
2. Unequal Sample Sizes: If the sample sizes are unequal, as in your case (12 and 58), you should consider using statistical tests that are robust to unequal sample sizes.
3. Use Welch's t-test: If the assumptions of normality and homogeneity of variances are met, despite the unequal sample sizes, you can use Welch's t-test. Welch's t-test adjusts the degrees of freedom and accounts for unequal variances between the groups. It is available in most statistical software packages.
4. Consider Nonparametric Alternatives: If the assumptions of normality and/or homogeneity of variances are not met, or if you prefer to use nonparametric methods, you can consider the Mann-Whitney U test (also known as the Wilcoxon rank-sum test). The Mann-Whitney U test does not assume normality or equal variances and can be used for comparing two groups with unequal sample sizes.
Good luck!!
Which statistics should I prefer if I am having three leves of IV and one DV to see the mean differences are significant or not? All are neumeric data
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