This lecture note provides an accessible and pedagogically informed walkthrough of null hypothesis significance testing (NHST) and the t-test, based on a live undergraduate statistics lecture. I discuss both independent and related samples t-tests, common assumptions and their verification, and show how to manually implement these tests using R. Emphasis is placed on conceptual clarity, mathematical underpinnings, and hands-on implementation.