Chapter 4: Q. 40 (page 286)
Construct the probability distribution function (PDF).
Short Answer
x | P(x) |
0 | 0 |
1 | 0.0009 |
2 | 0.0079 |
3 | 0.0395 |
4 | 0.1227 |
5 | 0.2439 |
6 | 0.3030 |
7 | 0.215 |
8 | 0.0667 |
Chapter 4: Q. 40 (page 286)
Construct the probability distribution function (PDF).
x | P(x) |
0 | 0 |
1 | 0.0009 |
2 | 0.0079 |
3 | 0.0395 |
4 | 0.1227 |
5 | 0.2439 |
6 | 0.3030 |
7 | 0.215 |
8 | 0.0667 |
All the tools & learning materials you need for study success - in one app.
Get started for freeAn electronics store expects to have ten returns per day on average. The manager wants to know the probability of the store getting fewer than eight returns on any given day. State the probability question mathematically.
Find the expected value from the expected value table.
Sixty-five percent of people pass the state driverโs exam on the first try. A group of individuals who have taken the driverโs exam is randomly selected. Give two reasons why this is a binomial problem.
Use the following information to answer the next six exercises: On average, a clothing store gets customers per day.
Which type of distribution can the Poisson model be used to approximate? When would you do this?
The chance of an IRS audit for a tax return with over in income is about per year. Suppose that people
with tax returns over are randomly picked. We are interested in the number of people audited in one year. Use a
Poisson distribution to anwer the following questions.
a. In words, define the random variable
b. List the values that may take on.
c. Give the distribution of
d. How many are expected to be audited?
e. Find the probability that no one was audited.
f. Find the probability that at least three were audited.
What do you think about this solution?
We value your feedback to improve our textbook solutions.