Statistics
AP Statistics: AP-Style FRQs Chapter by Chapter
Next session on Dec 20, 2023
Jeremy L
Series Details
About
Every session, I will have one (sometimes more) questions that mimic the style of the free-response questions that you'll see on the exam, including language, format, etc. You will have 15 minutes to complete each question to go along with the time limit on the exam. We will also go into the investigative tasks. You will have 15 minutes for any free-response questions and 25 for the investigative tasks. I will schedule Catchup sessions by request for anyone who couldn't make it to a previous session. NOTE: You are expected to have already covered the respective chapter prior to the session. This series serves as a review for every individual chapter leading up to the exam date.
✋ ATTENDANCE POLICY
You will be withdrawn from the series if you accumulate 16 unexcused absences. (Absences from Catchups or Reviews will not count against you.) Please message the tutor in advance for any absences!
Dates
September 20 - May 3
Learners
15 / 300
Total Sessions
32
About the Tutor
I am a rising 11th grader. I have a passion for computer science, astronomy, and history. I am joining Schoolhouse to be able to share some of my knoweldge with others who need it the most, while at the same time trying to get help in areas I need help in as well. Science education in the U.S. is really dumbed down and slow, so I taught myself some advanced topics for an 11th grader thanks to how accessible all this information is nowadays, especially Khan Academy! I speak English fluently; read and speak Spanish really well, although I can't speak it too fast because I start stuttering; and am learning French (A2)
Upcoming Sessions
Session 26
Office Hours
3. Collecting Data | 2 Free-response Questions
Session 27
Office Hours
4. Probability, Random Variables, and Probability Distributions
Session 28
Office Hours
5. Sampling Distributions
Session 29
Office Hours
6. Inference for Categorical Data: Proportions
Session 30
Office Hours
7. Inference for Quantitative Data: Means
Session 31
Office Hours
8. Inference for Categorical Data: Chi-Square
Session 32
Office Hours
9. Inference for Quantitative Data: Slopes