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 gasoline tank for a certain car is designed to hold 15 gal of gas. Suppose that the variable \(x=\) actual capacity of a randomly selected tank has a distribution that is well approximated by a normal curve with mean \(15.0 \mathrm{gal}\) and standard deviation \(0.1\) gal. a. What is the probability that a randomly selected tank will hold at most \(14.8\) gal? b. What is the probability that a randomly selected tank will hold between \(14.7\) and \(15.1\) gal? c. If two such tanks are independently selected, what is the probability that both hold at most 15 gal?

Short Answer

Expert verified
a. The probability that a tank will hold at most 14.8 gal is approximately 0.02275. b. The probability that a tank will hold between 14.7 and 15.1 gal is approximately 0.84. c. The probability that both tanks hold at most 15 gal is 0.25.

Step by step solution

01

- Understanding the distribution

The problem informs us that the capacity of gas tanks follows a normal distribution with a mean (\(\mu\)) of 15.0 gal and a standard deviation (\(\sigma\)) of 0.1 gal. When a distribution is normal, most of the data falls close to the mean, and the spread of data is symmetrical about the mean. In this case, most tanks will hold close to 15 gallons, with few holding significantly more or less.
02

Step 2(a) - Calculating the probability of a tank holding at most 14.8 gal

To calculate this, we first need to find the Z-score for 14.8 gal. The Z-score measures how many standard deviations an element is from the mean, and is given by Z = (X - \(\mu\)) / \(\sigma\). Substituting the given values, we get Z = (14.8 - 15) / 0.1 = -2. Now, we look up this Z-score in a standard normal distribution table or use the cumulative distribution function of a standard normal distribution to find out the probability, which gives us approximately 0.02275.
03

Step 3(b) - Calculating the probability of a tank holding between 14.7 and 15.1 gal

We need to find the Z-scores for 14.7 and 15.1. Using the same formula, we get Z = (14.7 - 15) / 0.1 = -3 for 14.7 gal and Z = (15.1 - 15) / 0.1 = 1 for 15.1 gal. Now, we need to find the area under the normal curve between these two Z-scores. That area represents the probability we are looking for. Using the standard normal distribution, we get Prob(14.7 < X < 15.1) = Prob(-3 < Z < 1) = Prob(Z < 1) - Prob(Z < -3) = 0.84134 - 0.00135 = 0.84 approximately.
04

Step 4(c) - Calculating probability of both tanks holding at most 15 gal

The Z-score for 15 is Z = (15 - 15) / 0.1 = 0. Now, we need to find the probability of one tank holding at most 15 gallons, and then square it, since the two events are independent and we need both of them to happen. Prob(X ≤ 15) = Prob(Z ≤ 0) = 0.5. Hence, the probability that both tanks hold at most 15 gallons is (0.5)² = 0.25.

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 \(x\) denote the IQ for an individual selected at random from a certain population. The value of \(x\) must be a whole number. Suppose that the distribution of \(x\) can be approximated by a normal distribution with mean value 100 and standard deviation 15 . Approximate the following probabilities: a. \(P(x=100)\) b. \(P(x \leq 110)\) c. \(P(x<110)\) (Hint: \(x<110\) is the same as \(x \leq 109 .\) ) d. \(P(75 \leq x \leq 125)\)

The Los Angeles Times (December 13,1992 ) reported that what airline passengers like to do most on long flights is rest or sleep; in a survey of 3697 passengers, almost \(80 \%\) did so. Suppose that for a particular route the actual percentage is exactly \(80 \%\), and consider randomly selecting six passengers. Then \(x\), the number among the selected six who rested or slept, is a binomial random variable with \(n=6\) and \(\pi=.8\). a. Calculate \(p(4)\), and interpret this probability. b. Calculate \(p(6)\), the probability that all six selected passengers rested or slept. c. Determine \(P(x \geq 4)\).

Suppose that \(90 \%\) of all registered California voters favor banning the release of information from exit polls in presidential elections until after the polls in California close. A random sample of 25 California voters is to be selected. a. What is the probability that more than 20 voters favor the ban? b. What is the probability that at least 20 voters favor the ban? c. What are the mean value and standard deviation of the number of voters who favor the ban? d. If fewer than 20 voters in the sample favor the ban, is this at odds with the assertion that (at least) \(90 \%\) of the populace favors the ban? (Hint: Consider \(P(x<20)\) when \(\pi=.9 .)\)

An appliance dealer sells three different models of upright freezers having \(13.5,15.9\), and \(19.1\) cubic feet of storage space. Let \(x=\) the amount of storage space purchased by the next customer to buy a freezer. Suppose that \(x\) has the following probability distribution: $$ \begin{array}{lrrr} x & 13.5 & 15.9 & 19.1 \\ p(x) & .2 & .5 & .3 \end{array} $$ a. Calculate the mean and standard deviation of \(x\). b. If the price of the freezer depends on the size of the storage space, \(x\), such that Price \(=25 x-8.5\), what is the mean value of the variable Price paid by the next customer? c. What is the standard deviation of the price paid?

Suppose that the distribution of the number of items \(x\) produced by an assembly line during an 8 -hr shift can be approximated by a normal distribution with mean value 150 and standard deviation \(10 .\) a. What is the probability that the number of items produced is at most 120 ? b. What is the probability that at least 125 items are produced? c. What is the probability that between 135 and 160 (inclusive) items are produced?

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