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AP Statistics- Probability Models: Geometric, Binomial and Normal Distributions

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Miller Math Made Easy
6 Followers
Grade Levels
9th - 12th
Subjects
Standards
Formats Included
  • Word Document File
Pages
6 pages
$2.00
$2.00
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Miller Math Made Easy
6 Followers

Description

**All questions in this document are NEW and solutions cannot be googled**

(as of this post on 6/6/23)

Test-prep practice directly aligned to College Board's CED for AP Statistics. This packet contains 15 multiple choice questions and 1 free response question, in addition to an answer key. The content covered spans across the use of probability models including geometric, binomial and normal distributions. The download is an editable word document.

This document would be great to use as review for the AP exam, a quiz/test, or at-home practice.

Total Pages
6 pages
Answer Key
Included
Teaching Duration
90 minutes
Last updated Jun 6th, 2023
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Standards

to see state-specific standards (only available in the US).
Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions.
Calculate the expected value of a random variable; interpret it as the mean of the probability distribution.
Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. For example, find the theoretical probability distribution for the number of correct answers obtained by guessing on all five questions of a multiple-choice test where each question has four choices, and find the expected grade under various grading schemes.
Develop a probability distribution for a random variable defined for a sample space in which probabilities are assigned empirically; find the expected value. For example, find a current data distribution on the number of TV sets per household in the United States, and calculate the expected number of sets per household. How many TV sets would you expect to find in 100 randomly selected households?
Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game).

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