Official 2020 AP Stats Exam College Board Lesson #17 Understanding and Interpreting the P-value 4_28_2020
Hi all!
That was a great lesson from Luke Wilcox! Here are my take-aways and teacher comments:
Reminders
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4 weeks of lessons
and preparation for the exam is being taught/reviewed (recorded) M-F: 2-2:45 PM
in these YouTube Lessons 😊 https://www.youtube.com/watch?v=Fb3q22JgWI4&list=PLoGgviqq4845u-QDW3bikMhC4uQsuYDpy&index=25
- Lessons: April 6-10: Units 6-7 taught first because many schools either didn’t get to these entirely or at all (we did get through most of this); April 13-April 24: Units 1-5
- NEW: EXAM POINTERS FOR DOING WELL ON THE 2020 EXAM: 4/27—5/8. 5/4, 5/5 AN ACTUAL 2020 PRACTICE TEST!!😊
- AP Stats Exam Friday May 22 from 2-2:45 EST
- All resources available at Statsmedic.com/youtube
- If you need a device take the Exam go to cb.org/tech
Last Night’s homework example:
- This is a nice review of why the 10% condition for Independence is necessary for probability calculations
#1 “Joy Milnes can smell Parkinson’s” example:
- Nice run through of a claim, statistic, some evidence, convincing evidence
- Nice explanation of an interpretation of an estimated p-value from a dot plot
#2 “AP Exam review with YouTube” example:
- Nice review of Binomial: BINS and M = np formula
- Nice run through of a claim, statistic, some evidence, convincing evidence
- Nice explanation of an interpretation of a p-value arrived at using 1- binompdf(n=80, p=0.3, x=31) from a population distribution
#3 “Mr. Wilcox preparation needed for the AP Exam” example:
- Nice explanation H0 and Ha and the definition for M in the State step of a four step process.
- Nice run through of a claim, statistic, some evidence, convincing evidence
- Nice explanation of an interpretation of a p-value from a sampling distribution for X-bar from a test statistic t = -0.72
#4 “Reese’s Pieces/Skittles” example:
- Nice run through of a claim, statistic, some evidence, convincing evidence
- Nice explanation of an interpretation of a p-value from a sampling distribution for p-hat1 - p-hat2 from a test statistic z = 2.85 for a two-sided (not equal to) test
#5
- The NULL HYPOTHESIS has the claim assumed to be true
#6
- The P-value is a conditional probability
Try the homework about “trees in a forest” if you can for tomorrow’s lesson 😊
Please email me any time with any question, comments, thoughts.
Take care!!
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