Your Turn Answers
Define these key terms
- Null hypothesis: the hypothesis that there is no relationship between variables
- P-value: the probability of obtaining our effect size or more extreme from the null hypothesis
- Type I error: a false positive: rejecting the null hypothesis when there is no population effect
- Type II error: a false negative, failing to reject the null hypothesis when there is a population effect
Fill in the gaps
- If you find a statistically significant result, using the most common value for alpha, your p-value must be less than 0.5
- If you do not find a statistically significant result, you cannot reject the null hypothesis