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Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
Conditional Probability and Independence | Notes | Practice | Video
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Description

This ready-to-print lesson on conditional probability and independence covers determining independence, calculating "and" probabilities including conditional probability, and applying the addition rule for "or" probabilities.


What's Included

βœ“ Guided notes with organized key concepts and guided practice for scaffolded learning

βœ“ Notes video (streaming and download) perfect for confident instruction, absent students, or flipped classrooms

βœ“ Practice A & B in two comparable forms for homework/classwork flexibility

βœ“ Exit ticket and warm-up for quick formative assessment and next-day review


Learning Objective

Students will:

  • determine whether two events are independent or dependent
  • calculate the probability of two events occurring in both independent and dependent situations, including applying conditional probability
  • apply the addition rule to calculate β€œor” probabilities for mutually exclusive, or disjoint, events and for overlapping events

Primary Standards Addressed

G.13C, G.13D, G.13E from Texas Essential Knowledge and Skills for Geometry (TEKS)

HSS-CP.A.1, HSS-CP.A.2, HSS-CP.A.3, HSS-CP.B.6, HSS-CP.B.7, HSS-CP.B.8 from Common Core State Standards (CCSS)


Resource Details

This resource is in PDF format. Check out the preview for a detailed look!

Lesson Notes - 3 pages + key

Notes Video - Streaming and download links

Practice A - 2 pages + key

Practice B - 2 pages + key

Exit Ticket (4 per page printable) - 1 page + key

Warm-Up (4 per page printable) - 1 page + key

Exit Ticket (Display) - 1 page

Warm-Up (Display) - 1 page


⭐️ Bundle & save for a discount ⭐️

Purchase the Probability - Geometry Unit 11 to get this lesson plus...

  • a total of 4 lessons with notes, practice, exit tickets, and warmups
  • a unit review and editable unit test
  • concept organizers

Having difficulty with a file?

Visit the FAQs section, submit a help ticket, or email allison@mathbeach.com before leaving feedback.Β 


Copyright Β© Math Beach Solutions LLC.

Permission to copy for single classroom use only.Β 

Please purchase additional licenses if you intend to share this product.

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.

Conditional Probability and Independence | Notes | Practice | Video

Math Beach Solutions
1.1k Followers
$3.00

Highlights

Digital downloads
Grades icon
Grades
9th - 10th
Subjects icon
Subjects
Standards icon
Standards
Pages
9 pages
Answer Key
Included

Description

This ready-to-print lesson on conditional probability and independence covers determining independence, calculating "and" probabilities including conditional probability, and applying the addition rule for "or" probabilities.


What's Included

βœ“ Guided notes with organized key concepts and guided practice for scaffolded learning

βœ“ Notes video (streaming and download) perfect for confident instruction, absent students, or flipped classrooms

βœ“ Practice A & B in two comparable forms for homework/classwork flexibility

βœ“ Exit ticket and warm-up for quick formative assessment and next-day review


Learning Objective

Students will:

  • determine whether two events are independent or dependent
  • calculate the probability of two events occurring in both independent and dependent situations, including applying conditional probability
  • apply the addition rule to calculate β€œor” probabilities for mutually exclusive, or disjoint, events and for overlapping events

Primary Standards Addressed

G.13C, G.13D, G.13E from Texas Essential Knowledge and Skills for Geometry (TEKS)

HSS-CP.A.1, HSS-CP.A.2, HSS-CP.A.3, HSS-CP.B.6, HSS-CP.B.7, HSS-CP.B.8 from Common Core State Standards (CCSS)


Resource Details

This resource is in PDF format. Check out the preview for a detailed look!

Lesson Notes - 3 pages + key

Notes Video - Streaming and download links

Practice A - 2 pages + key

Practice B - 2 pages + key

Exit Ticket (4 per page printable) - 1 page + key

Warm-Up (4 per page printable) - 1 page + key

Exit Ticket (Display) - 1 page

Warm-Up (Display) - 1 page


⭐️ Bundle & save for a discount ⭐️

Purchase the Probability - Geometry Unit 11 to get this lesson plus...

  • a total of 4 lessons with notes, practice, exit tickets, and warmups
  • a unit review and editable unit test
  • concept organizers

Having difficulty with a file?

Visit the FAQs section, submit a help ticket, or email allison@mathbeach.com before leaving feedback.Β 


Copyright Β© Math Beach Solutions LLC.

Permission to copy for single classroom use only.Β 

Please purchase additional licenses if you intend to share this product.

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

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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 (β€œor,” β€œand,” β€œnot”).
Understand that two events 𝘈 and π˜‰ are independent if the probability of 𝘈 and π˜‰ 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 π˜‰ as π˜—(𝘈 and π˜‰)/π˜—(π˜‰), and interpret independence of 𝘈 and π˜‰ as saying that the conditional probability of 𝘈 given π˜‰ is the same as the probability of 𝘈, and the conditional probability of π˜‰ given 𝘈 is the same as the probability of π˜‰.
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