This weekend you have a few responsibilities:
1.) Please complete the take home quiz provided in class (or below).
- Be sure to show ALL work for any question with a ** or you won't earn credit!
- For multiple choice #'s 5 and 7 you have to choose the correct formula for the one proportion z interval--this is based on today's work to develop that formula!
- For #7 you might need some help finding the "z*" or "critical value..."
- Extra Stamp Opportunity:
- Google "critical value" or "z*" and either do some reading or watch some video(s) about what this value is and how it is calculated/found
- Take notes!
- You can earn up to 4 extra stamps depending on the level of detail in your notes--I'll collect these on Weds. (only Weds)
- Use your notes!
2.) If you did not do either hw from chapter 19 I will accept either/both for full credit on Wednesday!
- Both assignments are in the textbook--look at the blog posts from Weds. and Thurs. for the problems/directions
3.) Want to get ahead? Learn more about one proportion z intervals?
- Go to the AP Stat Guy videos (linked below or on the right)
- Look at Unit 5, Video #'s 6, 7, 8, or 9
- All of these videos deal with confidence intervals for proportions--some of them recap what we've learned, some will give you some insight into what's coming next!
- AP Stat Guy Videos! Click me!
Today's Class Recap:
- Stamp = x, n, and p-hat and conditions review (questions 1 and 2 from the "Investigating Confidence Intervals" activity)
- Worked in groups to develop the formula for a one-proportion z interval by completing the "Investigating Confidence Intervals" assignment
- If you were out this is below--do it so you're caught up!
- Use the example I passed out Monday of the 68/95/99.7 rule to help with #3
- #3 is the key to completing the rest--we're trying to figure out how an interval is calculated!
What's happening when we come back?
- When we return we'll spend some time breaking down the formula (that we developed today) more, with the following objectives for learning:
- Understanding the formula, why it looks the way it does, and how we can apply this same idea to means
- What is a critical value? How can we calculate (or look up) our critical values?
- How do we complete a "full" AP free response with confidence intervals? (practice)
- How can we calculate margin of error?
- How can we find sample size if we are given a margin of error?
- How can we find our point estimate and margin of error if we are only given an interval?
- What is a point estimate?
- How does changing sample size and/or our confidence level affect the margin of error? the width of an interval?
- Let's practice all that?
Here is the take home quiz in case you lost yours or were absent:
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