Independent Samples T Test Chart. Independent samples t test assumptions. The 2 sample t test uses a sample size of 30 two groups with 15 per group while the paired t test has only 15 subjects but the researchers test them twice.
The independent samples t test compares the means of two independent groups in order to. Understanding the different results. Very different sample means are highly unlikely if the population means are equal.
Why is the paired t test with the dependent samples statistically significant while the 2 sample t test with independent samples is not significant.
Sqrt variance of happy male observations of happy male variance of happy female observations of happy female finally we can create a bar chart of the means of happy for males and females that includes standard errors. The independent samples t test is a statistical test used to determine if 2 groups are significantly different from each other on your variable of interest. Understanding the different results. If the population means are really equal then the sample means will probably differ a little bit but not too much.
