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