1 / 10

AP Statistics Section 11.4 B

AP Statistics Section 11.4 B. A significance test makes a Type I error when ___________________________________ P(Type 1 error ) = ___ A significance test makes a Type II error when __________________________________.

Download Presentation

AP Statistics Section 11.4 B

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. AP Statistics Section 11.4 B

  2. A significance test makes a Type I error when ___________________________________ P(Type 1 error ) = ___A significance test makes a Type II error when __________________________________.

  3. Type II errors are always computed at a particular value for .Calculating the probability of a Type II error by hand is possible but unpleasant. It’s better to let technology do the work for you.You will not be expected to find P(Type II error) on the AP exam.

  4. If the probability of a Type II error for a particular Ha is high, this means that the test is not sensitive (or tuned-in) enough to regularly detect that Ha.

  5. Calculations of p-values and calculations of power both tell us what would happen if the test were repeated many times. A p-value tells us what would happen supposing that the ___________, while power describes what would happen supposing a particular __________.

  6. When planning a study that will include a significance test, a careful user of statistics decides what alternative values of the parameter the test should detect and checks that the power is adequate. The power depends on which particular parameter value in we are interested in. To calculate power, we must fix an so that there is a fixed rule for rejecting .

  7. Increasing the PowerHigh power is always desirable. Along with ____ confidence intervals and ____ significance tests, ____ power is becoming a standard.

  8. The best advice for maximizing the power of a test is to choose as high an___level as you are willing to risk ANDas large a sample size as you can afford.

More Related