Weekend = Study for Tuesday!

This weekend please (use your notes to) complete the "All Things T!" packet we started in class today. 

• This is essentially a different version of the test you have on Tuesday, so this is a great way to study!
• The answers will be posted on the blog; if you can answer each of these correctly you should be in pretty good shape to earn an "A" on Tuesday!
• *Note on question 10 (first free response)
• This question uses two sets of quantitative data (number of men/women in each field)--so this would be summarized with means 
• This should be conducted as a paired t-test--why? Why should we pair this data?

Hey...I think we're going to start class on Wednesday with a matching vocab quiz! 

• 19 words, 20 definitions (one word has two definitions). STUDY! Ace this. 
• Most of this vocab appeared on past quizzes (chapters 19-22), so use those to study!
• Much of this vocab will be used within Tuesday's test questions, so studying the vocab is also studying for Tuesday!
• Here's the vocab you may see Weds so you can get a head start studying:
1. Confidence Interval
2. Critical Value
3. Meaning of confidence level
4. Standard Error
5. Margin of Error
6. Hypothesis Test
7. Null Hypothesis
8. Alternative Hypothesis
9. P-Value
10. Standardized Test Statistic
11. Alpha/Significance Level (2 definitions...)
12. Beta
13. Power
14. Fail to Reject Ho
15. Reject Ho
16. One Tailed Test
17. Two Tailed Test
18. Type I Error
19. Type 2 Error

And here's the plan leading up to the AP exam!

• Friday: All things t review!
• Monday: Start chapter 26
• Tuesday: Looking like this is our "Inferences for Means" unit exam day
• Wednesday - Friday: Finish chapter 26 (chi squared)
• Week of 4/30-5/4: Cover chapter 27 (last one)--t tests and intervals for slope
• Monday 5/7 to Friday 5/11: AP exam review
• Monday 5/14 to Wednesday 5/16: AP exam review
• Thursday 5/17: AP STAT EXAM!

And here are the answers to the "All Things T" review packet we started today. 

1. E (answer must include a comment on the mean or average caloric intake!)
2. B (as n increases the standard deviation of the distribution decreases; so, as n increases, the distribution is less spread out)
3. C (we're comparing the number of eggs in the summer/winter for the same duck!)
4. E (in reality (in fact) the null is true, but our test suggests the Ha is true)
5. D (remember to look up t*--don't use z*!)
6. C (vocab: p-value = the probability we see our observed data GIVEN the null is true!)
7. D (look at your ch. 23 notes--you need to know these characteristics of the t-distribution!)
8. C (in reality (in fact) the alternative is true, but our test does not show this)
9. D (remember that we use a confidence interval to draw conclusions about a population parameter (mean or proportion)--this question is an example of interpreting the confidence LEVEL)
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