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Conditional Probability Notes
Conditional Probability Notes
Conditional Probability Notes
Conditional Probability Notes
Conditional Probability Notes
Conditional Probability Notes
Conditional Probability Notes
Conditional Probability Notes
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Description

These notes cover conditional probability and its formula, how it relates to independence/dependence, and tree diagrams.

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Conditional Probability Notes

Rated 5 out of 5, based on 1 reviews
5.0 (1 rating)
MillerLovesMath
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$2.00

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Digital downloads
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Grades
9th - 12th
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Standards
Answer Key
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This bundle includes 4 different interactive notes for: overall probability vocab, compound events, probability models, and conditional probability. Also included are two "cheat sheets" for students to have in interactive notebooks: one for probability symbols and one for the basics of a deck of car
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Description

These notes cover conditional probability and its formula, how it relates to independence/dependence, and tree diagrams.

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

5.0
Rated 5 out of 5, based on 1 reviews
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rating
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Rated 5 out of 5
April 2, 2022
Conditional Probability is so difficult but this graphic organizer was very helpful.
381 reviews
Grades taught: 11th
Student populations: Learning difficulties

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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