Across
- 7. Measures how far a sample statistic diverges from what we would expect if the null hypothesis were true, in standardized units
- 8. Overall success rate of the method for calculating the confidence interval
- 9. Value by which the standard deviation of a statistic is calculated in determining the confidence interval. Depends on confidence level and sampling distribution of statistic
- 10. Rejecting the null hypothesis when the null hypothesis is true
- 11. Probability that a test will reject the null hypothesis when the null hypothesis is false
- 12. When the P value is lower than alpha
- 14. Alternative hypothesis that states the parameter is larger or smaller than the null hypothesis
- 15. Probability, assuming the null hypothesis is true, that the statistic would take a value as extreme or more extreme than the one actually observed
- 18. What we get from standardizing based on the sample standard deviation
- 19. Failing to reject the null hypothesis when the null hypothesis is false
- 20. Value telling us how close the estimate tends to be to the unknown parameter in repeated random sampling
Down
- 1. Statistic that provides an estimate of a population parameter
- 2. Formal procedure of comparing observed data with a claim whose truth we want to assess
- 3. Alternative hypothesis that states the parameter is not equal to the null hypothesis
- 4. True value of mean or proportion in a population
- 5. A range within which the true mean or proportion of a population has a certain percentage of existing
- 6. Claim about the population that we are trying to find evidence for
- 13. Population minus one
- 16. Standard deviation estimated from data
- 17. Term describing inference procedure when the probability calculations involved remain fairly accurate when a condition for using the procedure is violated