Across
- 4. Gives an interval of plausible values for a parameter
- 5. Fixed value α that we use as a cutoff for deciding whether an observed result is too unlikely to happen by chance alone when the null hypothesis is true
- 6. The procedure for calculating confidence intervals assumes that individual observations are independent
- 8. Procedure for using observed data to decide between two competing claims
- 10. Calculation that measures how far a sample statistic diverges from what we would expect if the null hypothesis H0 were true, in standardized units
- 13. Statistic that provides an estimate of a population parameter
- 14. An alternative hypothesis that states that a parameter is larger than the null hypothesis value or vice versa
- 15. The alternative hypothesis is two-sided if it states that the parameter is different from the null value
- 16. The probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test, assuming that the null hypothesis is correct
- 17. Occurs if we reject H0 when H0 is true
- 18. Multiplier that makes the interval wide enough to have the stated capture rate
- 19. The difference between the point estimate and the true parameter value
Down
- 1. The claim that we are trying to find evidence for in a significance test
- 2. Procedure for using observed data to decide between two competing claims
- 3. Specific value of a point estimator from a sample
- 7. This is what the sample/experiment should always be;the first condition to check
- 9. The method that we use to construct a confidence interval for p
- 10. Occurs if we fail to reject H0 when Ha is true
- 11. Success rate of the method for calculating the confidence interval
- 12. When the standard deviation of a statistic is estimated from data
