Across
- 6. Because all values in the sample can vary except one, the t-score must consider these.
- 7. in most tests, these must be met before completing the problem (hint: random, independent, normal)
- 11. the p-value is compared to this to see if there is sufficient evidence to reject the null hypothesis
- 12. how far a sample statistic diverges from what we would expect if the null hypothesis were true, in standardized units
- 15. when a condition for using a test is violated, but the test can still be performed, the test is called...
- 16. in many SRSs of the same size, the average distance between the population parameter and the point estimator
- 18. looks like a normal curve, but there is more area in the "tails"
Down
- 1. fail to reject the null hypothesis when it isn't true
- 2. reject the null hypothesis when it is true
- 3. the test performed on a proportion problem to find a confidence interval
- 4. This set of values is a range for the true value of the mean at a set confidence (90%, 95%, 99%).
- 5. the probability that the test will reject the null hypothesis at a chosen significance level when the specified alternative value of the parameter is true.
- 7. the percent of intervals that should capture the true parameter is all possible SRSs are taken is called this
- 8. the claim tested by a statistical test
- 9. a measure of how accurate the point estimate is in estimating the parameter
- 10. not likely to happen just by chance
- 13. a statistical value of a sample that is used to estimate the population parameter
- 14. the claim that we try to support with evidence
- 17. The probability of an extreme value occurring given that the null hypothesis is true