Across
- 2. difference between the point estimate and the true parameter value
- 6. the chosen statistic
- 11. hypothesis 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
- 13. The claim that we are trying to find evidence for in a significance test
- 15. Claim we weight evidence against in a significance test. Often is a statement of “no difference.”
- 16. 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
- 17. Occurs if we fail to reject H0 when Ha is true
- 18. Multiplier that makes the interval wide enough to have the stated capture rate
Down
- 1. standard deviation of a statistic is estimated from data
- 3. the success rate of the method that produces the interval
- 4. Student's t-distribution (or simply the t-distribution) is any member of a family of continuous probability distributions that arises when estimating the mean of a normally distributed population in situations where the sample size is small and population standard deviation is unknown.
- 5. Procedure for using observed data to decide between two competing claims
- 7. hypothesis The alternative hypothesis is two-sided if it states that the parameter is different from the null value
- 8. 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
- 9. the specific value of the point estimator
- 10. the number of independent values or quantities that can be assigned to a statistical distribution
- 12. If the observed result is not very unlikely to occur when the null hypothesis is true, we should fail to reject H0 and say that we do not have convincing evidence for Ha
- 14. Occurs if we reject H0 when H0 is true
