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Probability Foldable for Interactive Notebooks
Probability Foldable for Interactive Notebooks
Probability Foldable for Interactive Notebooks
Probability Foldable for Interactive Notebooks
Probability Foldable for Interactive Notebooks
Probability Foldable for Interactive Notebooks
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Description

Looking for a study guide to help students with the rules of probability? This foldable is great for students to use as a reference when working with Algebra 2 probability questions. Topics include: mutually inclusive, independent events, addition rule of probability, conditional probability, and complements. Students can add it to their interactive notebooks and is a great way for them to organize information. A one page reference sheet with the same information is also included.

Directions:

**Print double sided and on long edge


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LICENSING TERMS: This purchase includes a single license that may only be assigned to a single specific individual user. Individual licenses are non-transferable and may not be used by or reallocated to a different teacher.   No part of this resource is to be shared with colleagues or used by an entire grade level, school, or district without purchasing the proper number of licenses.

COPYRIGHT TERMS: 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.

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.

Probability Foldable for Interactive Notebooks

Rated 5 out of 5, based on 1 reviews
5.0 (1 rating)
Newton's Solutions
270 Followers
$2.50

Highlights

Grades icon
Grades
9th - 12th
Subjects icon
Subjects
Standards icon
Standards
Pages
3

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Description

Looking for a study guide to help students with the rules of probability? This foldable is great for students to use as a reference when working with Algebra 2 probability questions. Topics include: mutually inclusive, independent events, addition rule of probability, conditional probability, and complements. Students can add it to their interactive notebooks and is a great way for them to organize information. A one page reference sheet with the same information is also included.

Directions:

**Print double sided and on long edge


___________________________________________________________________

LICENSING TERMS: This purchase includes a single license that may only be assigned to a single specific individual user. Individual licenses are non-transferable and may not be used by or reallocated to a different teacher.   No part of this resource is to be shared with colleagues or used by an entire grade level, school, or district without purchasing the proper number of licenses.

COPYRIGHT TERMS: 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.

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
1
rating
All verified TPT purchases
Perfect for my curriculum
Rated 5 out of 5
August 30, 2025
Met expectations
Great value
Standards-aligned
This fit perfectly with my curriculum and gave my students ready resource to reference.
Gerri D.
215 reviews • Tennessee
Grades taught: 7th, 8th, 9th, 12th
Student populations: Emerging bilinguals, Learning difficulties, Mild to severe disabilities

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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