The Independent Samples T-Test is a statistical method used to compare the means of two separate groups to determine if there is a significant difference between them. This test is applicable when the groups are independent, meaning that the participants in one group do not influence those in the other group. It is commonly used in research to analyze data from experiments or surveys. To perform an Independent Samples T-Test, researchers calculate the means and standard deviations of both groups, then use these values to compute the t-statistic. This statistic helps determine the probability that any observed difference in means is due to chance. If the p-value is below a certain threshold, typically 0.05, the difference is considered statistically significant.