Across
- 5. distribution when the standard deviation is not known
- 6. failing to reject the null when the alternative is true
- 8. formal procedure for using observed data to decide between two hypotheses
- 13. the alternative hypothesis states that a parameter is different than the null hypothesis
- 14. claim we are trying to find evidence for in a significance test
- 16. the alternative hypothesis states that a parameter is larger or smaller than the null hypothesis
- 17. used to find the related probability involving z
- 18. rejecting the null when the null is true
- 19. gives the overall success rate of the method for calculating the confidence interval; in C% of all possible samples, the method would yield an interval that captures the true parameter value
- 20. used to determine the correct value of t* for a given confidence interval
Down
- 1. fixed value a that we use as a cutoff for deciding whether an observed result is too unlikely to happen by chance alone when when the null hypothesis is true
- 2. gives an interval of plausible values for a parameter
- 3. the difference between the point estimate and the true parameter value will be less than this in C% of samples
- 4. measures how far a sample statistic diverges from what we would expect if the null hypothesis were true
- 7. the value of a statistic that provides an estimate of a population parameter
- 9. claim we weigh evidence against in a statistical test; statement of "no difference"
- 10. multiplier that makes the interval wide enough to have the stated capture rate; depends on the confidence level and the sampling distribution of the statistic
- 11. the result of the standard deviation being estimated from the data
- 12. one minus the sample size
- 15. when assuming the null hypothesis is true, the probability that the statistic would take a value as extreme as or more extreme than the one actually observed in the direction of the alternative hypothesis