This PowerPoint covers the fundamentals of null hypothesis testing in statistics and explains how researchers determine whether results are statistically significant. It introduces the differences between the null hypothesis (H₀) and alternative hypothesis (H₁), explains when to accept or reject a hypothesis, and provides real-world examples to help students understand significance testing. The presentation also reviews Type I and Type II errors, significance on the normal distribution, critical