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About this document
- Pages
- 3 pages
- Price
- $3 one-time, yours to keep
- Membership
- Included in every plan
- Format
- Subject
- Probability, Statistics
- Module
- Chapter 5
This document contains multiple-choice questions on discrete random variables. It covers definitions, examples, and probability distributions. It is useful for students studying Chapter 5.
What's inside
- Definition of random variables
- Discrete random variables
- Continuous random variables
- Probability distribution tables
- Probability calculations
Who it is for: Students studying Chapter 5 on discrete random variables. (Undergraduate)
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Summary
Discrete random variables are variables whose values are determined by random experiments. This document gives students practice in identifying, defining and working with discrete random variables.
Random Variables
Random variables are values determined by random experiments. Students choose which of four statements defines a random variable.
Discrete and Continuous Variables
Discrete random variables take countable values. Continuous random variables take any value in an interval. Students choose examples of each.
Probability Distributions
The probability distribution lists all values a discrete random variable can take and their probabilities. Students construct and use these distributions.
Probability Distribution Characteristics
The sum of probabilities for all values of a discrete random variable must equal 1. Students determine whether tables or graphs have these characteristics.
Key terms
- Random variable
- A variable determined by the outcome of a random experiment.
- Discrete random variable
- A random variable whose set of values is countable.
- Continuous random variable
- A variable that can assume any value in one or more intervals.
- Probability distribution
- A table listing all values a discrete random variable can assume and their probabilities.
- Probability
- The chance that a discrete random variable takes a certain value.
- Events
- Outcomes that can be computed using probability distributions.
Questions this document helps with
- What is a discrete random variable?
- How do you construct a probability distribution?
- What is the sum of probabilities for all values of a discrete random variable?
Summary written with AI from the document's text.
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