Across
- 2. Statistic that provides an estimate of a population parameter
- 6. The difference between the point estimate and the true parameter value
- 9. The data were produced by a well-designed random sample or randomized experiment
- 10. Study designs that involve making two observations on the same individual or one observation on each of two similar individuals result in paired data
- 12. When sampling without replacement, we check that the population is at least 10 times as large as the sample
- 13. random, independent, normal
- 15. A statistical inference that estimates a population parameter
- 17. Specific value of a point estimator from a sample
- 18. Multiplier that makes the interval wide enough to have the stated capture rate
- 19. a parameter differs from the null hypothesis value in a specific direction
- 20. The sample is large enough that n(p-hat) and n(1 − (p-hat)), the counts of successes and failures in the sample, are both at least 10
Down
- 1. When the standard deviation of a statistic is estimated from data, the result is the standard error of the statistic
- 3. reject the null hypothesis but it is actually true
- 4. The claim we weigh evidence against in a statistical test "no difference"
- 5. 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
- 7. The claim about the population that we are trying to find evidence for
- 8. assesses the evidence provided by data about some claim concerning a parameter
- 11. fail to reject the null hypothesis but it is actually false
- 14. a parameter differs from the null value in either direction
- 16. Draw an SRS of size n from a large population that has a Normal distribution with mean and standard deviation