T Test Independent Vs Dependent. Why is the paired t test with the dependent samples statistically significant while the 2 sample t test with independent samples is not significant. Understanding the different results.
Independent samples are measurements made on two different sets of items. An independent t test is a test between two unrelated samples. Assumption of normality of the dependent variable.
When you conduct a hypothesis test using two random samples you must choose the type of test based on whether the samples are dependent or independent.
If you test 30 males and 30 females on a memory experiment there isn t any particular reason why you would expect the male scores to relate to the females. When you conduct a hypothesis test using two random samples you must choose the type of test based on whether the samples are dependent or independent. The dependent t test can look for differences between means when participants are measured on the same dependent variable under two different conditions. The analyses make different assumptions about the nature of the samples.
