Significance Tests

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Across
  1. 2. the value used to measure statistical significance in significance tests, usually either .05 or .01
  2. 3. A probability that a statistic, assuming the null hypothesis was true, would take a value as or more extreme than what was observed
  3. 6. The claim we weigh evidence against
  4. 8. When you fail to reject the null hypothesis but you actually should have
  5. 9. gives and interval of plausible values for a parameter
  6. 10. When you reject H0 but it was actually true
  7. 12. a measure of how far a sample statistic diverges from what we would expect if the null hypothesis were true
  8. 13. the overall success rate of the method for calculating the confidence interval
  9. 14. includes state, plan, do, and conclude
  10. 15. one of the tests for a parameter where samples are not planed
  11. 16. the probability that the test will reject the null hypothesis at a chosen Alpha Level when the alternative value of the parameter is true
  12. 17. The difference between the point estimator and the true parameter value will be less than this
  13. 19. The standard deviation of a sample used in cases of means
Down
  1. 1. n>30
  2. 3. Statistic that provides an estimate of a population parameter
  3. 4. a pre-test to find sample size compared to population size
  4. 5. The claim we are testing to find evidence for
  5. 7. States the parameter is not the same as the null hypothesis
  6. 11. The estimated standard deviation of a statistic
  7. 18. States the parameter is larger or smaller than the null hypothesis