Path 4 Final Knowledge Check: Hypothesis Testing & Inference

You made it to the end.

You now know how to look at a dataset, find its center, measure its spread, map its probability, and prove whether a change is statistically significant. You have learned the exact mathematical frameworks that power A/B testing, clinical trials, and business analytics worldwide.

Before you graduate from the core statistics curriculum, take this final 6-question quiz to lock in the rules of Hypothesis Testing.

Click on your answers below to see how you did!

1. In a hypothesis test, what does the Null Hypothesis generally state?


2. You run an A/B test and get a P-Value of 0.01 (1%) with an Alpha set to 0.05. What is the correct verdict?


3. What does it actually mean to be “95% confident” in a Confidence Interval?


4. Why does a Two-Sample T-Test calculate the variance (the noise) of the groups in addition to the difference in their means (the signal)?


5. Why should you use ANOVA instead of running multiple separate T-Tests when comparing four different marketing campaigns?


6. Which scenario is the perfect use case for a Chi-Square Test?

🎉 Curriculum Complete!

You have mastered the foundational concepts of statistics and data science. From defining data types to proving hypotheses with complex statistical models, you are now equipped to make truly data-driven decisions.

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