need the assumption of the equal variances
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1. You need the assumption of the equal variances that have been meant in the example.
2. There must be two numbers that can be compared to a rationale.
3. See if the test was significant, or insignificant, or equal in a variance test
Question 1: You need the assumption of the equal variances that have been meant in the example.
Answer: No, the assumption of equal variances is not necessary for the independent samples t-test. If the variances are unequal, you can use Welch's t-test, which is a more robust version of the t-test. Question 2: There must be two numbers that can be compared to a rationale.
Answer: Yes, the independent samples t-test is used to compare the means of two independent groups. The groups can be of any size, but they must be independent, meaning that the data points in each group must be unpaired. The data points must also be normally distributed, or at least approximately normally distribute
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