Across
- 1. The probability, computed assuming H0 is true, that the statistic would take a value as extreme as or more extreme than the one actually observed, in the direction specified by Ha
- 6. when the P-value is smaller than alpha
- 8. shows how close we believe our guess is, based on the variability of the estimate
- 10. reject the null when the null is true
- 12. measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units.
- 14. the claim we weigh evidence against in a statistical test
- 16. gives an interval of plausible values for a parameter
- 19. in a t distribution sample size (n) - 1
Down
- 1. best guess for the value of the unknown parameter
- 2. the overall success rate of the method for calculating the confidence interval
- 3. fail to reject the null when the alternate is true
- 4. The claim about the population that we are trying to find evidence for
- 5. the result when the standard deviation of a statistic is estimated from data
- 7. When the population distribution isn’t Normal this is the distribution
- 9. if the alternate hypothesis if it states that the parameter is different from the null hypothesis value
- 11. The data come from a well-designed random sample or randomized experiment.
- 13. the probability that the test will reject H0 at a chosen significance level a when the specified alternative value of the parameter is true.
- 15. if the alternate hypothesis states that a parameter is larger than the null hypothesis value or if it states that the parameter is smaller than the null value
- 17. Both np and n(1 − p) are at least 10.
- 18. When sampling without replacement, check that 10n<N