Across
- 2. explain: What parameter do you want to estimate, and at what confidence level?
- 4. Success rate of the method for calculating the confidence interval.
- 7. Null hypothesis
- 11. Multiplier that makes the interval wide enough to have the stated capture rate.
- 13. Study designs that involve making two observations on the same individual or one observation on each of two similar individuals
- 14. Identify the appropriate inference method. Check conditions.
- 15. n-1
- 16. if the alpha is greater than the P-value we
- 17. Statistic that provides an estimate of a population parameter
- 18. f we fail to reject H0 when Ha is true.
Down
- 1. The difference between the point estimate and the true parameter value
- 2. Procedure for using observed data to decide between two competing claims
- 3. If the conditions are met, perform calculations.
- 5. if we reject H0 when it is in fact true
- 6. the probability, computed supposing H0 to be true, that the statistic will take a value at least as extreme as the observed result in the direction specified by Ha.
- 8. When the standard deviation of a statistic is estimated from data, the result is the -- of the statistic
- 9. Alternative hypothesis
- 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.
- 12. Interpret your interval in the context of the problem.
- 19. The probability that a test will reject H0 at a chosen significance level α when a specified alternative value of the parameter is true.