Chapter 4 Vocabulary

a numerical value associated with each outcome of a probability experiment.

• Random Variable
• p
• Expected Value of a Discrete Random Variable
• Discrete Probability Distribution

Random variable that has a finite or countable number of possible outcomes that can be listed.

• Discrete Variable
• p
• Geometric Distribution
• Discrete Probability Distribution

Random variable that has an uncountable number of possible outcomes.

• Continuous Variable
• q
• Discrete Variable
• Discrete Probability Distribution

A distribution that list each possible value the random variable can assume along with its probability.

• Discrete Probability Distribution
• Discrete Variable
• Poisson Distribution
• Variance of a Binomial Distribution

The sum of the products of the x values and their corresponding probabilities.

• Mean of Discrete Random Variable
• Poisson Distribution
• q
• Random Variable

Expected Value is equal to the mean of the random variable which is the sum of the x values and their probabilities.

• Expected Value of a Discrete Random Variable
• q
• Discrete Probability Distribution
• p

A list of the possible values of x with their corresponding binomial probabilities. Example: Probability of 4 out of 5 people have their driver's license.

• Binomial Probability Distribution
• Poisson Distribution
• Discrete Probability Distribution
• Discrete Variable

np

• Mean of a Binomial Distribution
• Random Variable
• Poisson Distribution
• Geometric Distribution

npq

• Variance of a Binomial Distribution
• Mean of Discrete Random Variable
• Mean of a Binomial Distribution
• Discrete Probability Distribution

square root of npq

• Standard Deviation of a Binomial Distribution
• Binomial Probability Distribution
• Variance of a Binomial Distribution
• p