A T-Test is a statistical method used to determine if there is a significant difference between the means of two groups. It helps researchers understand if the differences observed in sample data are likely to reflect true differences in the larger population. The T-Test is commonly applied in various fields, including psychology, medicine, and social sciences, to analyze experimental results. There are different types of T-Tests, such as the Independent T-Test, which compares two separate groups, and the Paired T-Test, which compares two related groups. The results of a T-Test are often expressed in terms of a p-value, which indicates the probability that the observed differences occurred by chance.