Practice Key Concepts in Hypothesis Testing - 4.2 | 4. Statistical Inference and Hypothesis Testing | Data Science Advance
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4.2 - Key Concepts in Hypothesis Testing

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the null hypothesis in your own words.

πŸ’‘ Hint: Think about the default position before evidence is considered.

Question 2

Easy

What does a p-value represent?

πŸ’‘ Hint: Consider what would happen if the null hypothesis were true.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is a null hypothesis?

  • A statement of no effect
  • A statement of significant difference
  • A statement of expected outcomes

πŸ’‘ Hint: Think about what the default assumption is.

Question 2

True or False: A p-value greater than the significance level means we reject the null hypothesis.

  • True
  • False

πŸ’‘ Hint: Recall the rule connecting p-values with significance thresholds.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

During a clinical trial for a new drug, researchers establish Ξ± at 0.05. The p-value obtained is 0.07. What decision should be made regarding the null hypothesis, and what type of error could potentially occur?

πŸ’‘ Hint: Reflect on the implications of your p-value in relation to the significance level.

Question 2

In testing a hypothesis about the average test scores of students, a researcher finds that their significance level leads to a 10% Type I error rate. What could be the potential impact of this error on educational policy decisions?

πŸ’‘ Hint: Consider how policy changes based on faulty data could affect educational stakeholders.

Challenge and get performance evaluation