Exam 6: Discrete Probability Distributions

If π = 1/5 and n = 100, the standard deviation of this binomial distribution is _____.

If the variance is 3.6 grams, what is the standard deviation?

In the _______________________ distribution, the probability of a success is not the same on each trail.

What is the only variable in the Poisson probability formula?

A new car was put into production. It involved many assembly tasks. Each car was inspected at the end of the assembly line and the number of defects per unit was recorded. For the first 100 cars produced, there were 40 defective cars. Some of the cars had no defects, a few had one defect, and so on. The distribution of defects followed a Poisson distribution. Based on the first 100 cars produced, about how many out of every 1,000 cars assembled should have one or more defects?

There are eight flights from Minneapolis to St. Cloud each day. The probability that any one flight is late is 0.10. Using the binomial probability formula, what is the probability that none are late?

For a trial, the number of possible outcomes for the binomial experiment is _____.

For the following distribution: What is the variance of the distribution?

A measure of the long-run average value of a random variable used to represent the central location of a probability distribution is called a(n) _____________.

The probability of a particular outcome must always be between 0.0 and 1.0 inclusive.

A probability distribution is a mutually exclusive and collectively exhaustive listing of experimental outcomes that can occur by chance, and their corresponding probabilities.