Practice Introduction to Hypothesis Testing - 6 | Introduction to Statistics | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define the Null Hypothesis.

💡 Hint: Think about what you believe before testing.

Question 2

Easy

What is a p-value?

💡 Hint: It's a way to measure evidence against H₀.

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 does the null hypothesis represent?

  • A statement of no effect
  • A statement of effect
  • A measurement of variability

💡 Hint: Think about what it means to start with a claim.

Question 2

True or False: A p-value greater than 0.05 leads to the rejection of the null hypothesis.

  • True
  • False

💡 Hint: Remember the common p-value threshold.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You conducted a study comparing to two different diets on weight loss. The t-test returns a p-value of 0.06. Explain the implications of this result.

💡 Hint: Think about what it means when p-values hover just above the threshold.

Question 2

Construct a hypothetical scenario where using a one-tailed t-test would be preferable over a two-tailed t-test and explain why.

💡 Hint: Consider if you are testing for an increase or decrease specifically.

Challenge and get performance evaluation