Two versions of independent samples t-test
The independent t-test refers to an inferential numerical test, which assesses whether two unrelated samples have statistically significant difference. Moreover, the independent samples t-tests utilize the comparison between two independent sets aiming to evaluate whether statistical evidence exist in related populations (Warner, 2012). It assesses the statistical difference in the two group averages such as whether the mean weight of baby girls significantly differs from that of baby boys. More importantly, the variables utilized in the independent t-test include the test or dependent variable and grouping or independent variable.
Assumed Equal Variance
There are two versions of independent t-test, which occur when there is an assumption of equal variance and there is no assumption of equal variance. For the assumed e