TPT
Total:
$0.00
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Skeleton Notes: Counting Principles and Basic Probability
Share

Description

This file is a unit of skeleton notes for counting principles and basic probability. They are meant to be used by the teacher as an instructional aid.

Skills included are

  • Tree diagrams
  • Multiplication rule
  • Permutations
  • Combinations
  • Theoretical probability
  • Experimental probability
  • Addition Rule
  • Conditional Probability
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.

Skeleton Notes: Counting Principles and Basic Probability

$2.00

Highlights

Digital downloads
Grades icon
Grades
8th - 12th
Subjects icon
Subjects
Standards icon
Standards

Description

This file is a unit of skeleton notes for counting principles and basic probability. They are meant to be used by the teacher as an instructional aid.

Skills included are

  • Tree diagrams
  • Multiplication rule
  • Permutations
  • Combinations
  • Theoretical probability
  • Experimental probability
  • Addition Rule
  • Conditional Probability
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

This product has not yet been rated.
Rated 0 out of 5

Questions & Answers

Loading

Standards

to see state-specific standards (only available in the US).
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.
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.
Loading