Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Exercise \(7.8\) gave the following probability distribution for \(x=\) the number of courses for which a randomly selected student at a certain university is registered: $$ \begin{array}{lrrrrrrr} x & 1 & 2 & 3 & 4 & 5 & 6 & 7 \\ p(x) & .02 & .03 & .09 & .25 & .40 & .16 & .05 \end{array} $$ It can be easily verified that \(\mu=4.66\) and \(\sigma=1.20\). a. Because \(\mu-\sigma=3.46\), the \(x\) values 1,2 , and 3 are more than 1 standard deviation below the mean. What is the probability that \(x\) is more than 1 standard deviation below its mean? b. What \(x\) values are more than 2 standard deviations away from the mean value (i.e., either less than \(\mu-2 \sigma\) or greater than \(\mu+2 \sigma)\) ? What is the probability that \(x\) is more than 2 standard deviations away from its mean value?

Short Answer

Expert verified
a. The probability that \(x\) is more than 1 standard deviation below its mean is 0.14. b. The \(x\) values that are more than 2 standard deviations away from the mean are 1, 2 and 7. The probability that \(x\) is more than 2 standard deviations away from its mean value is 0.1.

Step by step solution

01

Calculate the probability for part a

The \(x\) values that are more than 1 standard deviation below the mean are 1, 2, and 3. The corresponding probabilities are 0.02, 0.03, and 0.09, respectively. Calculate the total probability by adding these up: \(0.02 + 0.03 + 0.09 = 0.14.\)
02

Identify the \(x\) values for part b

More than 2 standard deviations from the mean implies values that are less than \( \mu - 2\sigma = 4.66 - 2*1.20 = 2.26 \) or greater than \( \mu + 2\sigma = 4.66 + 2*1.20 = 7.06 \). Therefore, the \(x\) values less than 2.26 are 1 and 2 and \(x\) value greater than 7.06 is 7.
03

Calculate the probability for part b

The corresponding probabilities for \(x\) values 1, 2 and 7 are 0.02, 0.03, and 0.05, respectively. Calculate the total probability by adding these up: \(0.02 + 0.03 + 0.05 = 0.1.\)

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Let \(z\) denote a variable that has a standard normal distribution. Determine the value \(z^{*}\) to satisfy the following conditions: a. \(P\left(zz^{*}\right)=.02\) e. \(P\left(z>z^{*}\right)=.01\) f. \(P\left(z>z^{*}\right.\) or \(\left.z<-z^{*}\right)=.20\)

Determine the value \(z^{*}\) that a. Separates the largest \(3 \%\) of all \(z\) values from the others b. Separates the largest \(1 \%\) of all \(z\) values from the others c. Separates the smallest \(4 \%\) of all \(z\) values from the others d. Separates the smallest \(10 \%\) of all \(z\) values from the others

Suppose that \(20 \%\) of the 10,000 signatures on a certain recall petition are invalid. Would the number of invalid signatures in a sample of size 1000 have (approximately) a binomial distribution? Explain.

An author has written a book and submitted it to a publisher. The publisher offers to print the book and gives the author the choice between a flat payment of $$\$ 10,000$$ and a royalty plan. Under the royalty plan the author would receive $$\$ 1$$ for each copy of the book sold. The author thinks that the following table gives the probability distribution of the variable \(x=\) the number of books that will be sold: $$ \begin{array}{lrrrr} x & 1000 & 5000 & 10,000 & 20,000 \\ p(x) & .05 & .30 & .40 & .25 \end{array} $$ Which payment plan should the author choose? Why?

A contractor is required by a county planning department to submit anywhere from one to five forms (depending on the nature of the project) in applying for a building permit. Let \(y\) be the number of forms required of the next applicant. The probability that \(y\) forms are required is known to be proportional to \(y ;\) that is, \(p(y)=k y\) for \(y=1, \ldots, 5\). a. What is the value of \(k ?\) (Hint: \(\sum p(y)=1 .\) ) b. What is the probability that at most three forms are required? c. What is the probability that between two and four forms (inclusive) are required? d. Could \(p(y)=y^{2} / 50\) for \(y=1,2,3,4,5\) be the probability distribution of \(y\) ? Explain.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free