When should you reject the null hypothesis?
Understand the Problem
The question is asking for the criteria or conditions under which one should reject the null hypothesis in statistical hypothesis testing. This typically involves comparing a test statistic to a critical value or assessing a p-value against a significance level.
Answer
When the p-value is less than or equal to your significance level.
You should reject a null hypothesis when the p-value is less than or equal to your significance level.
Answer for screen readers
You should reject a null hypothesis when the p-value is less than or equal to your significance level.
More Information
Rejecting the null hypothesis is based on statistical significance, typically set at 0.05 or 0.01. This means there is a 5% or 1% risk of concluding that an effect exists when there is none.
Tips
Common mistakes include misunderstanding the p-value and the significance level, and incorrectly interpreting the null hypothesis to mean there is no effect.
Sources
- Reject Null Hypothesis - Indeed - indeed.com
- Null Hypothesis: Definition, Rejecting & Examples - Statistics By Jim - statisticsbyjim.com
- When to reject a hypothesis, size and p-value - Cross Validated - stats.stackexchange.com
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