Hypothesis testing true or false
Decide whether each statement about hypothesis testing is true or false, then learn from the instant feedback. A good way to clear up common p-value misconceptions with your class or team.
- Level
- Higher education
- Subject
- Statistics
- Category
- Statistics and probability
- Format
- True or False
- Questions
- 10
- Time
- About 4 min
Free to play. No sign-up for players.
What's inside
- 10 True or False questions
- Instant feedback after every answer
- Works on any phone, tablet or laptop
First questions
- A p-value is the probability that the null hypothesis is true.
- A small p-value is evidence against the null hypothesis.
- A Type I error means rejecting a null hypothesis that is actually true.
Community discussion
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