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Multiplication Rules and Conditional Probability (Lesson with Homework)

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Infinitely Pi Learning
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Grade Levels
10th - 12th, Higher Education, Homeschool
Resource Type
Standards
Formats Included
  • Zip
Pages
Lecture - 12, HW - 3
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  1. Elementary Statistics - Probability and Counting Rules Lesson Plan BundleThis bundle includes:-Introduction to Probability-Addition Rules for Probability-Multiplication Rules and Conditional Probability-Notation and Symbols in Probability-Permutations and Combinations-Application of Counting Rules-P
    Price $24.00Original Price $29.00Save $5.00
  2. VIEW FULL PREVIEW VIDEO HERE: https://youtu.be/eRPmKXVrmw4*Video Note: This video was made before changing to the bundle format, so the setup is a little different. Each section is an individual zipped file instead of being organized into folders. Quizzes and other extras can be found in the Bonus C
    Price $130.00Original Price $240.00Save $110.00

Description

Elementary Statistics - Multiplication Rules and Conditional Probability

Common Core Aligned Lesson Plan Homework

This lesson plan includes:

-Lecture Notes (PDF, PowerPoint, and SMART Notebook)

-Blank Lecture Notes (PDF and SMART Notebook)

-Homework (PDF and Word)

-Answer Key (PDF)

-Conditional Probability Demonstration Handout (PDF and Word)

You do not need to have PowerPoint or SMART Notebook to receive the full benefits of this product. There are also PDF versions included!

Lesson Objectives:

-Find the probability of compound events using multiplication rules of probability.

-Find the conditional probability of an event.

-Understand the difference between independent and dependent events and how to calculate the probability of each.

Common Core Standards:

S.CP.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.

S.CP.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.

S.CP.3 - Understand that 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.

S.CP.5 - Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations.

S.CP.6 - Find the conditional probability of A given B as the fraction of B's outcomes that also belong to A, and interpret the answer in terms of the model.

----Unit 2: Probability and Counting Rules----

Related Content

Probability and Counting Rules Lesson Plan Bundle

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Click here to view more Elementary Statistics materials

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----Common Core Standards Disclaimer----

The Common Core Standards were written and developed by The National Governors Association Center for Best Practices and Council of Chief State School Officers. © Copyright 2010. National Governors Association Center for Best Practices and Council of Chief State School Officers. All rights reserved.

This product is the work of Infinitely Pi Learning. It is intended to support the implementation of the Common Core Standards. Any claim of alignment is the personal opinion of Infinitely Pi Learning and is not necessarily the opinion of the National Governors Association Center for Best Practices and Council of Chief State School Officers. No approval by, nor the association with, the creators of the Common Core Standards is intended or implied.

Total Pages
Lecture - 12, HW - 3
Answer Key
Included
Teaching Duration
45 minutes
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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.
Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations. For example, compare the chance of having lung cancer if you are a smoker with the chance of being a smoker if you have lung cancer.
Find the conditional probability of 𝘈 given 𝘉 as the fraction of 𝘉’s outcomes that also belong to 𝘈, and interpret the answer in terms of the model.

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