Across
- 2. Multiplier that makes the interval wide enough to have the stated capture rate
- 5. Procedure for using observed data to decide between two competing claims (also called hypotheses). The claims are often statements about a parameter
- 7. An alternative hypothesis that states that a parameter is larger than the null hypothesis value or that states that the parameter is smaller than the null value
- 8. 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
- 10. Both n and n(1 − ) are at least 10
- 11. Claim we weight evidence against in a significance test
- 12. if it states that the parameter is different from the null value (it could be either smaller or larger)
- 16. a statistic that provides an estimate of a population parameter
- 17. μ
- 18. Fixed value α (alpha) 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
- 19. If we fail to reject H0 when Ha is true, we have committed
Down
- 1. the value of that statistic from a sample is called a
- 3. The difference between the point estimate and the true parameter value
- 4. σ
- 6. If we reject H0 when H0 is true, we have committed
- 9. Success rate of the method for calculating the confidence interval
- 13. standard deviation of a statistic is estimated from data
- 14. The claim that we are trying to find evidence for in a significance test
- 15. gives an interval of plausible values for a parameter
- 16. The probability that a test will reject H0 at a chosen significance level α when a specified alternative value of the parameter is true