Probability Bundle - PowerPoint, HW, Quizzes with Answer Keys
Fly by the Seat of My Pants Kind of Teacher
3 Followers
Grade Levels
10th - 12th, Higher Education
Subjects
Resource Type
Standards
CCSSHSS-CP.A.1
CCSSHSS-CP.A.2
CCSSHSS-CP.A.3
CCSSHSS-CP.A.4
CCSSHSS-CP.A.5
Formats Included
- Zip
Fly by the Seat of My Pants Kind of Teacher
3 Followers
Products in this Bundle (10)
showing 1-5 of 10 products
Description
This bundle contains all the probability work I have posted from my Probability & Statistics course, including the answer keys that go along with it.
Total Pages
Answer Key
Included
Teaching Duration
N/A
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Standards
to see state-specific standards (only available in the US).
CCSSHSS-CP.A.1
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”).
CCSSHSS-CP.A.2
Understand that two events 𝘈 and 𝘉 are independent if the probability of 𝘈 and 𝘉 occurring together is the product of their probabilities, and use this characterization to determine if they are independent.
CCSSHSS-CP.A.3
Understand the conditional probability of 𝘈 given 𝘉 as 𝘗(𝘈 and 𝘉)/𝘗(𝘉), and interpret independence of 𝘈 and 𝘉 as saying that the conditional probability of 𝘈 given 𝘉 is the same as the probability of 𝘈, and the conditional probability of 𝘉 given 𝘈 is the same as the probability of 𝘉.
CCSSHSS-CP.A.4
Construct and interpret two-way frequency tables of data when two categories are associated with each object being classified. Use the two-way table as a sample space to decide if events are independent and to approximate conditional probabilities. For example, collect data from a random sample of students in your school on their favorite subject among math, science, and English. Estimate the probability that a randomly selected student from your school will favor science given that the student is in tenth grade. Do the same for other subjects and compare the results.
CCSSHSS-CP.A.5
Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations. For example, compare the chance of having lung cancer if you are a smoker with the chance of being a smoker if you have lung cancer.