Probability & Statistics: Independence and Conditional Probability

Description

Covers probability including:

- Mutually exclusive events

- Independent and dependent events ("A given B")

- Unions

- Intersections

- Sampling with and without replacement

- Addition Rule

- Multiplication Rule

Examples with die, cards, lottery and many others. Slides are animated, showing step-by-step how to perform calculations. I used these slides for my high school statistics class (10th-12th grade).

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Probability & Statistics: Independence and Conditional Probability

Name: Probability & Statistics: Independence and Conditional Probability
Brand: Mariah's Math Store
SKU: 7620921
Price: 7.95 USD
Availability: InStock

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Highlights

Digital downloads

Microsoft PowerPoint

Grades

10th - 12th, Adult Education, Higher Education

Subjects

Math, Statistics

Standards

CCSSHSS-CP.A.1

CCSSHSS-CP.A.2

CCSSHSS-CP.A.3

Save even more with bundles

AP Statistics Bundle: Lecture/Worksheets - Hypothesis Testing, Confidence & More

This bundle includes the following presentation/lectures:- 22-slide presentation on Independence and Conditional Probability- 41-slide presentation on the Normal Distribution & Z-Scores- 55-slide presentation on the Student's T-Distribution- 96-slide presentation on Confidence Intervals & Hy

Price $29.95Original Price $46.19Save $16.24

Description

Covers probability including:

- Mutually exclusive events

- Independent and dependent events ("A given B")

- Unions

- Intersections

- Sampling with and without replacement

- Addition Rule

- Multiplication Rule

Examples with die, cards, lottery and many others. Slides are animated, showing step-by-step how to perform calculations. I used these slides for my high school statistics class (10th-12th grade).

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.

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Questions & Answers

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.