BUS 230 Chapter 5

List two conditions required for a discrete probability function

0 is less than or equal to f(x) which is less than or equal to 1 sigma f(x) =1

A continuous random variable may assume ________ in an interval

any value

The weight of an object is an example of ( discrete / continuous ) random variable.

continuous

An experiment consists of making 80 telephone calls in order to sell a particular insurance policy. The random variable in this experiment is a ( discrete / continuous ) random variable.

discrete

The binomial probability distribution is used with a ( discrete / continuous ) random variable

discrete

List three characteristics of the binomial probability distribution.

discrete, two outcomes, independent, draw with replacement

When sampling without replacement, the probability of obtaining a certain sample is best given by a ( uniform / binomial / Poisson / hypergeometric ) distribution.

hypergeometric

The variance is a measure of dispersion or variability of a random variable. It is a weighted average of ____________ of the mean

net responsible for variance

In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the ( uniform / binomial / Poisson / hypergeometric ) distribution.

poisson

A numerical description of the outcome of an experiment is called a

random variable

The Poisson probability distribution is used with a ( discrete / continuous ) random variable that involves _________ or ______________.

time or distance

A production process produces 2% defective parts. A sample of five parts from the production process is selected. What is the probability that the sample contains exactly two defective parts?

2% binomial = .0038

Another name for the mean of a distribution is ______________.

F(x) = Sigma f(x)

A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a

binomial

If you are conducting an experiment where the probability of a success is .02 and you are interested in the probability of 4 successes in 15 trials, the correct probability function to use is the ( uniform / binomial / Poisson / hypergeometric ) distribution.

binomial