Exam 5: Normal, Binomial, Poisson, and Exponential Distributions

What is the probability that GM will sell between 2.0 and 2.3 million cars during the next year?

According to the empirical rule, how many observations lie within +/- 2 standard deviation from the mean?​

What is the probability that more than one of the 20 new microwaves sold will require a warranty repair in the first 90 days?

What is the probability that a randomly selected customer will spend $20 or more?

What is the probability that fewer than 33 customers arrive at this checkout counter in a given hour?

The total area under the normal distribution curve is equal to one.

What is the expected number of the new microwaves sold that will require a warranty repair in the first 90 days?

If we plot a continuous probability distribution f(x), the total probability under the curve is:

We assume that the outcomes of successive trials in a binomial experiment are:

A Poisson distribution is appropriate to determine the probability of a given number of defective items in a shipment.

How many hamburgers must the restaurant stock to be 99% sure of not running out on a given day?

What is the probability that it will take a technician between 10 to 15 minutes to fix a computer problem?

The binomial distribution deals with consecutive trials, each of which has two possible outcomes.

A continuous random variable X has the probability density function: f(x) = 2 , 0 -What is the distribution of X and what are the parameters?

The normal distribution is a:

The results of tossing a coin can be portrayed in a(n):

If X is a normal random variable with a standard deviation of 10, then 3X has a standard deviation equal to:

The standard normal distribution has a mean and a standard deviation respectively equal to:

Find the probability distribution of X.

What number of cars, equidistant from the mean, such that 90% of car sales are between these values?