TEST TOMORROW!

TEST TOMORROW! STUDY, STUDY, STUDY! This will be the most heavily weighted test of the third quarter!

1. First, complete the "AP Stat Test Review: Ch. 19, 20, 21" that we had for homework this weekend, and then use the key provided in class to check your work! (see the last post for the questions)
2. Do the Thursday HW--"Chapter 21: Types of Error" worksheet and check your answers below!
3. Finish the chapter 19, 20 MC we worked on in groups on Friday 3/9! (Answers below)
4. Look over your past (chapter 19 and 20) quizzes, math and vocab
5. Do practice problems!
• Here are some additional practice problems you can use to study (from your textbook):
• Chapter 21: Hypothesis Tests, Confidence Intervals, Types of Error
• Pages 492-494: 15, 17, 21, 27
• Unit 5 Review (answers in back under "Part V Review")
• Page 513-517: 5, 15, 17, 27, 29, 37

Here's an outline of the content for tomorrow's test, which includes free response, multiple choice, and some true/false questions:

• Identify info given in a context: x, n, p-hat, confidence level, margin of error
• Estimate a population proportion = create a one proportion z interval:
• Conditions
• Math (remember to show the interval formula!)
• Interpret your interval
• Use a confidence interval to "test a claim"
• Interpret the meaning of a confidence level
• Find sample size given margin of error, confidence level (remember to use 0.5 for p if it's not given)
• Find margin of error given summary data (n, confidence level, p-hat)
• Find the confidence level given ME, n, and p (or use 0.5 if p is not given)
• Find the value of the sample statistic (point estimate) and margin of error given only a confidence interval
• Know how changing confidence level and sample size will affect the margin of error and/or the width of an interval
• Conduct a one proportion z test
• Hypotheses 
• Conditions
• Math (show the z score formula, you can skip the shaded model if you like!)
• Write a conclusion based on p-value/alpha level
• Understanding p-values....know how to answer questions like those on the first two slides below
• Define a Type I error and a potential consequence (based on the given context)
• Define a Type II error and a potential consequence (based on the given context)
• Know how to calculate power
• Know how we can decrease the probability of a Type I error (alpha) and/or a Type II error (beta); know how alpha and beta relate
• False positives and false negatives: which is a Type I? Type II?

See below for Friday's (3/16) notes (if you were out):

Here are the answers to the "AP MC: Ch. 19 and 20," our group work from Friday, 3/9:

1. E
2. E
3. C
4. E
5. E
6. E
7. E
8. B
9. A
10. D
11. D
12. A
13. D
14. B
15. C

And here are the answers to Thursday's homework, "Ch. 21: Types of Error" worksheet: