1 / 31

Active Learning Lecture Slides For use with Classroom Response Systems

Chapter 16 Statistical Tests. Active Learning Lecture Slides For use with Classroom Response Systems. a claim about a statistic of a population. a claim about a parameter of a population. a claim about a sample of data. a claim about the population. A statistical hypothesis is….

cricket
Download Presentation

Active Learning Lecture Slides For use with Classroom Response Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Chapter 16Statistical Tests Active Learning Lecture Slides For use with Classroom Response Systems

  2. a claim about a statistic of a population. a claim about a parameter of a population. a claim about a sample of data. a claim about the population. A statistical hypothesis is…

  3. a claim about a statistic of a population. a claim about a parameter of a population. a claim about a sample of data. a claim about the population. A statistical hypothesis is…

  4. states that we should do nothing. states that we should take action. contradicts the null hypothesis. is the default belief that we accept in the absence of data. The null hypothesis (H0)…

  5. states that we should do nothing. states that we should take action. contradicts the null hypothesis. is the default belief that we accept in the absence of data. The null hypothesis (H0)…

  6. states that we should do nothing. states that we should take action. contradicts the null hypothesis. is the default belief that we accept in the absence of data. The alternative hypothesis (Ha)…

  7. states that we should do nothing. states that we should take action. contradicts the null hypothesis. is the default belief that we accept in the absence of data. The alternative hypothesis (Ha)…

  8. a two-sided test. a one-sided test. a null hypothesis test. all of the above. A test in which the null hypothesis allows any value of a parameter larger (or smaller) than a specified value is…

  9. a two-sided test. a one-sided test. a null hypothesis test. all of the above. A test in which the null hypothesis allows any value of a parameter larger (or smaller) than a specified value is…

  10. a two-sided test. a one-sided test. a null hypothesis test. all of the above. A test in which the null hypothesis asserts a specific value for the population parameter is…

  11. a two-sided test. a one-sided test. a null hypothesis test. all of the above. A test in which the null hypothesis asserts a specific value for the population parameter is…

  12. a Type III error. a Type II error. a Type I error. none of the above. Rejecting the null hypothesis when we should not have done so is…

  13. a Type III error. a Type II error. a Type I error. none of the above. Rejecting the null hypothesis when we should not have done so is…

  14. a Type III error. a Type II error. a Type I error. none of the above. Not rejecting the null hypothesis when we should have done so is…

  15. a Type III error. a Type II error. a Type I error. none of the above. Not rejecting the null hypothesis when we should have done so is…

  16. Visual test for association Normal quantile plots Control charts All of the above Which of the following use tests of hypotheses?

  17. Visual test for association Normal quantile plots Control charts All of the above Which of the following use tests of hypotheses?

  18. True False The key question to answer is “What is the chance of getting a test statistic this far from H0 if H0 is true?”

  19. True False The key question to answer is “What is the chance of getting a test statistic this far from H0 if H0 is true?”

  20. z-test. p-test. z-statistic. p-value. The largest chance of a Type I error if H0 is rejected based on the observed test statistic is called a…

  21. z-test. p-test. z-statistic. p-value. The largest chance of a Type I error if H0 is rejected based on the observed test statistic is called a…

  22. z-test. p-test. z-statistic. p-value. The number of standard errors that separate the test statistic from the region specified by H0 is called a…

  23. z-test. p-test. z-statistic. p-value. The number of standard errors that separate the test statistic from the region specified by H0 is called a…

  24. z-test. p-test. z-statistic. p-value. The test of H0 based on a count of standard errors separating H0 from the test statistic is called a…

  25. z-test. p-test. z-statistic. p-value. The test of H0 based on a count of standard errors separating H0 from the test statistic is called a…

  26. True False The threshold that sets the maximum tolerance for a Type I error is called the -level.

  27. True False The threshold that sets the maximum tolerance for a Type I error is called the -level.

  28. True False Statistically significant data contradict the null hypothesis and lead us to reject H0 (p-value <  ).

  29. True False Statistically significant data contradict the null hypothesis and lead us to reject H0 (p-value <  ).

  30. True False The equal sign sometimes stays with the null hypothesis.

  31. True False The equal sign sometimes stays with the null hypothesis.

More Related