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

A package in the mail can either be lost, delivered or damaged while being delivered. If the probability of loss is \(.2\), the probability of damage is \(.1\) and the probability of delivery is \(.7\) and 10 packages are sent to Galveston, Texas, what is the probability that 6 arrive safely 2 are lost and 2 are damaged?

Short Answer

Expert verified
The probability that 6 packages arrive safely, 2 are lost, and 2 are damaged is approximately 6.01%. We calculate this using the multinomial probability formula, which takes into account the total number of packages, probabilities of each outcome, and the desired number of occurrences for each outcome.

Step by step solution

01

Understand the multinomial probability formula

The multinomial probability formula is an extension of the binomial probability formula and is used when we have more than two different outcomes in an experiment. In our case, we have 3 different outcomes - package lost (L), package damaged (D), and package safely delivered (S). The general formula for multinomial probability is: \(P(X_1=n_1,X_2=n_2,\dots,X_k=n_k)=\frac{n!}{n_1!n_2!\dots n_k!}p_1^{n_1}p_2^{n_2}\dots p_k^{n_k}\) where n is the total number of trials (packages), \(n_i\) is the number of occurrences of each outcome, and \(p_i\) is the probability of each outcome. In our case, we have: - n = 10 packages - \(n_1\) = 6 safely delivered packages - \(n_2\) = 2 lost packages - \(n_3\) = 2 damaged packages - \(p_1\) = 0.7 (probability of safe delivery) - \(p_2\) = 0.2 (probability of loss) - \(p_3\) = 0.1 (probability of damage)
02

Calculate the probabilities

Now that we know the values of each variable in the multinomial formula, we can plug in the values and calculate the probability: \(P(S=6,L=2,D=2)=\frac{10!}{6!2!2!}0.7^6 0.2^2 0.1^2\) To calculate the factorials: - \(10!=3628800\) - \(6!=720\) - \(2!=2\) Plug these values back into the formula: \(P(S=6,L=2,D=2)=\frac{3628800}{720\cdot2\cdot2}0.7^6 0.2^2 0.1^2 = 127008\) Now calculate the probability of each outcome raised to the power of its occurrences: - \(0.7^6 = 0.117649\) - \(0.2^2 = 0.04\) - \(0.1^2 = 0.01\) Plug-in these values back into the formula: \(P(S=6,L=2,D=2)=127008\cdot0.117649\cdot0.04\cdot0.01=0.060130\)
03

Interpret the result

Thus, the probability that 6 packages arrive safely, 2 are lost, and 2 are damaged is approximately 6.01%.

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

The following experiment was performed to determine the effect of two advertising campaigns on three kinds of cake mixes. Sales of each mix were recorded after the first advertising compaign and then after the second advertising campaign. This experiment was repeated 3 times for each advertising campaign with the following results: $$ \begin{array}{|l|l|l|} \hline & \text { Campaign 1 } & \text { Campaign 2 } \\ \hline \text { Mix 1 } & 574,564,550 & 1092,1086,1065 \\ \hline \text { Mix 2 } & 524,573,551 & 1028,1073,998 \\ \hline \text { Mix 3 } & 576,540,592 & 1066,1045,1055 \\ \hline \end{array} $$ Set up an ANOVA table for this problem and find the appropriate sums of squares, degrees of freedom and mean squares.

Show that the sum of the expected value of two discrete random variables with joint density \(\mathrm{f}(\mathrm{x}, \mathrm{y})\) is equal to the expected value of the sum of these two random variables. That is \(\mathrm{E}(\mathrm{X}+\mathrm{Y})=\mathrm{E}(\mathrm{X})+\mathrm{E}(\mathrm{Y})\)

Let \(X\) possess a Poisson distribution with mean \(\mu\), 1.e. $$ \mathrm{f}(\mathrm{X}, \mu)=\mathrm{e}^{-\mu}\left(\mu^{\mathrm{X}} / \mathrm{X} ;\right) $$ Suppose we want to test the null hypothesis \(\mathrm{H}_{0}: \mu=\mu_{0}\) against the alternative hypothesis, \(\mathrm{H}_{1}: \mu=\mu_{1}\), where \(\mu_{1}<\mu_{0}\). Find the best critical region for this test.

Out of a group of 10,000 degree candidates of The University of North Carolina at Chapel Hill, a random sample of 400 showed that 20 per cent of the students have an earning potential exceeding \(\$ 30,000\) annually. Establish a \(.95\) confidence- interval estimate of the number of students with a \(\$ 30,000\) plus earning potential.

The average grade on a mathematics test is 82 , with a standard deviation of 5 . If the instructor assigns A's to the highest \(12 \%\) and the grades follow a normal distribution, what is the lowest grade that will be assigned \(\mathrm{A}\) ?

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