Wednesday HW:
(Period A:I think I rushed into the conclusion too quickly this morning, so let's hold off on our homework with conclusions until Thursday. Tonight let's focus on the "math" and understanding our p-values.)
(Period A:
Page 470-472: 3, 9, 11cd, 12abcd
- 3 = understanding what a p-value represents
- 9 = find errors!
- 11cd = math and interpret p-value
- 12abcd = hypotheses, conditions, math, interpret p-value
- Interpret PValue Template:
- If ____(Ho is true, in context)_______, there is a pvalue % chance that we would get a sample statistic (p-hat) of p-hat or larger/smaller (pick one).
Thursday's HW:
- Please complete the full hypothesis test process for each of the three context below:
- Hypotheses
- Conditions
- "Math"
- Conclusion
- You will get some very high/low (far from 0) z scores and some p-values that are = 0...this is because I took real studies for these rather than using "cookie cutter" test questions
- This should be reflected in our sketch!
- Remember, the "shaded region" represents the p-value, so if the p-value is 0 then nothing should be shaded!
- #1 is very much like our cereal example from class....
- If an alpha level (aka significance level) is not given, pick one! (1%,5%, or 10%)
Today's Class Recap:
- Stamp = CI review
- Back to ch. 20 notes....
- How do we determine if a sample statistic is "statistically significantly" different from the value in our null hypothesis?
- Calculating z scores (standardized test statistic)
- Calculating p-values
- How can we use our graphing calculator? How do we show the math work on our AP exam?
- What is a p-value? How can we interpret p-value in context?
- What is an alpha/significance level? (back to #7)....:
- How can we write a conclusion for a hypothesis test (comparing p-value to alpha level)?
- Provided a template for writing our conclusions....
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