68 Hypothesis testing helping graphs

This video clarifies the differences between the critical value approach and the p-value approach in econometrics hypothesis testing. We explore why their decision rules are inverted, stemming from the inverse relationship between the t-statistic and its corresponding p-value. The visual explanation uses the t-distribution to illustrate how larger t-statistics correspond to smaller p-values. Additionally, we define and visualize the rejection areas for both one-tailed and two-tailed tests, highlighting how the significance level dictates these critical regions. Understanding these graphical representations aids in making correct decisions regardless of the testing method employed. Subscribe to @AxiomTutoringCourses for more econometrics tutorials.