The T-test is a method of testing a hypothesis about a specific population. Finding significant differences between the means of two groups with similar characteristics is an inferential statistic. Comparing samples from independent groups is fairly easy because samples are compared based on their means (Standaert, 2018). Let’s explore the pros and cons of using the t-test to compare samples. Important for generality t-test results can be used to determine whether they are accurate and generalizable to the entire population (Kelter, 2020). Easy to understand Independent sample results are easy to interpret. The results show how the means of the two samples differ from each other. Additionally, it shows the mean difference between groups and the mean for each group. Higher t-values indicate that the groups are different, while lower t-values indicate that the groups are similar. continue…
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