Chapter 5 Flashcards

1
Q

Binomial Experiment

A

An experiment having the four properties stated at the beginning of Section 5.5.

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2
Q

Binomial Probability Distribution

A

A probability distribution involving two random variables. A discrete bivariate probability distribution provides a probability for each pair of values that may occur for the two random variables.

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3
Q

Binomial Probability Function

A

The function used to compute binomial probabilities.

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4
Q

Bivariate Probability Distribution

A

A probability distribution involving two random variables. A discrete bivariate probability distribution provides a probability for each pair of values that may occur for the two random variables.

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5
Q

Continuous Random Variable

A

A random variable that may assume any numerical value in an interval or collection of intervals.

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6
Q

Discrete Random Variable

A

A random variable that may assume either a finite number of values or an infinite sequence of values.

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7
Q

Discrete uniform probability distribution

A

A probability distribution for which each possible value of the random variable has the same probability.

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8
Q

Empirical Discrete Distribution

A

A discrete probability distribution for which the relative frequency method is used to assign the probabilities.

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9
Q

Expected Value

A

A measure of the central location, or mean, of a random variable.

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10
Q

Hypergeometric probability distribution

A

A probability distribution showing the probability of x successes in n trials from a population with r successes and N − r failures.

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11
Q

Hypergeometric probability function

A

The function used to compute hypergeometric probabilities.

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12
Q

Poisson probability distribution

A

A probability distribution showing the probability of x occurrences of an event over a specified interval of time or space.

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13
Q

Poisson probability function

A

The function used to compute Poisson probabilities.

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14
Q

Probability Distribution

A

A description of how the probabilities are distributed over the values of the random variable.

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15
Q

Probability Function

A

A function, denoted by f(x), that provides the probability that x assumes a particular value for a discrete random variable.

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16
Q

Random Variable

A

A numerical description of the outcome of an experiment.

17
Q

Standard Deviation

A

The positive square root of the variance.

18
Q

Variance

A

A measure of the variability, or dispersion, of a random variable.