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Algebra Statistics Probability Task Cards

Rated 4.95 out of 5, based on 48 reviews
5.0 (48 ratings)
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Joan Kessler
5.8k Followers
Grade Levels
6th - 9th
Standards
Formats Included
  • PDF
Pages
9 pages
$3.50
$3.50
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Joan Kessler
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What educators are saying

Good for end of unit reviewing. My team & I like to post the cards in the hall & have all math classes work together on them.
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Description

This set of 26 Probability Task Cards cards reviews basic probability concepts of independent and dependent events using dice, spinners, and a standard deck of playing cards. These are appropriate for grades 6 - 9.

By using a familiar and limited sample space, students will less likely get confused by the rules and be able to grasp the concepts fulfilling the CCS for Probability. They will be learning based on familiar topics, but expand their cognitive thinking skills with the questions asked. The questions include independent and dependent events, addition, subtraction rules and using the counting principle. The Task Cards can be used many ways, including small groups.

Included in this lesson:

  • 26 Task Cards. Students should not need a calculator.
  • Worksheet version of the Questions
  • Student recording sheet
  • Answer keys

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LICENSING TERMS: The purchase of a license for this resource is for use by one teacher only for his or her students only. No part of this resource is to be shared with colleagues or used by an entire department, school, or district without purchasing the proper number of licenses. Please respect my hard work and do not share.

COPYRIGHT TERMS: ©2019 Joan Kessler (joansworldofmath™). This resource may not be uploaded to the internet in any form, including classroom/personal websites or network drives, unless the site is password protected and can only be accessed by students.

Total Pages
9 pages
Answer Key
Included
Teaching Duration
N/A
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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.
Apply the Addition Rule, 𝘗(𝘈 or 𝘉) = 𝘗(𝘈) + 𝘗(𝘉) – 𝘗(𝘈 and 𝘉), and interpret the answer in terms of the model.
Apply the general Multiplication Rule in a uniform probability model, 𝘗(𝘈 and 𝘉) = 𝘗(𝘈)𝘗(𝘉|𝘈) = 𝘗(𝘉)𝘗(𝘈|𝘉), and interpret the answer in terms of the model.

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