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Conditional Probability
Conditional Probability
Conditional Probability
Conditional Probability
Conditional Probability
Conditional Probability
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Description

This exercise requires the student to find simple probabilities, independent and dependent probabilities, and conditional probabilities all from sets of date presented in table form. It also requires the students to have a knowledge of finding conditional probability with an equation. It works great for individual or partner/small group practice.
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Conditional Probability

Rated 4.9 out of 5, based on 5 reviews
4.9 (5 ratings)
MathMUDtician
19 Followers
$2.00

Highlights

Digital downloads
Grades icon
Grades
8th - 12th
Standards icon
Standards
Pages
2
Answer Key
Included
Teaching Duration
1 hour

Description

This exercise requires the student to find simple probabilities, independent and dependent probabilities, and conditional probabilities all from sets of date presented in table form. It also requires the students to have a knowledge of finding conditional probability with an equation. It works great for individual or partner/small group practice.
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

Reviews

4.9
Rated 4.9 out of 5, based on 5 reviews
5
ratings
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Rated 5 out of 5
February 9, 2020
Great practice.
Tiffany King
(TPT Seller)
138 reviews
Rated 4.5 out of 5
April 5, 2019
Great Product
Darnell A.
660 reviews
Rated 5 out of 5
February 22, 2019
The worksheet was clear and addressed the standard.
Felissa D.
1 review
Rated 5 out of 5
February 6, 2017
great!
Andrea Gutshall
(TPT Seller)
609 reviews
Rated 5 out of 5
September 1, 2016
great resource
Amber D.
289 reviews

Questions & Answers

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Standards

to see state-specific standards (only available in the US).
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”).
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.
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.
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