In this video, I explain the T-Test as an important method of hypothesis testing in Probability and Statistics. The lecture covers the t-test for one mean and the t-test for two means, including null and alternative hypotheses, and one-tailed and two-tailed tests. This session is especially useful when population variance is unknown and sample sizes are small, helping students and beginners build a strong conceptual understanding. Time Stamps 00:00 –Why T-Test 1:45– T-Test 3:52– Assumptions 6:17– Degree of Freedom 8:19– Table 9:56– T-Test for One Mean 11:49– Decision Rules 15:33– Question-1 20:04– Question-2 24:02– Question-3 27:18– Question-4 30:04– Question-5 35:03– Question-6 38:42– Question-7 43:39– T-Test for Two Means 46:11 – Decision Rule 48:33– Question-1 55:08– Question-2 1:00:56– Question-3