/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q. 73 Suppose that the duration of a p... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Suppose that the duration of a particular type of criminal trial is known to have a mean of 21days and a standard deviation of seven days. We randomly sample nine trials.

a. In words,ΣX=______________

b.ΣX~_____(_____,_____)

c. Find the probability that the total length of the nine trials is at least 225days.

d. Ninety percent of the total of nine of these types of trials will last at least how long?

Short Answer

Expert verified

a. the total length of time for nine criminal trials

b.N(189,21)

c.0.0432

d. 162.09;ninety percent of the total nine trials of this type will last 162 days or more.

Step by step solution

01

Given information

Suppose that the duration of a particular type of criminal trial is known to have a mean of 21days and a standard deviation of seven days. We randomly sample nine trials.

02

Explanation (part a)

definition for ∑X: the total length of time for nine criminal trials

03

Explanation (part b)

The sum of random variables in normal distribution is given by, ∑X=N(nμ,nσ)

Plugging all the values in the above equation, we get,

∑X=N(9×21,9×7)∑X=N(189,21)

04

Explanation (part c)

the probability that the total length of the nine trials is at least 225days.

role="math" localid="1651602155511" P(∑X≤225)=normalcdf(lower,upper,nμ,nσ)P(∑X≤225)=normalcdf(225,1E99,189,21)=0.0432

05

Explanation (part d)

Letk=the90thprecentile.

Find k, where P(∑x<k)=0.90.

invNorm0.90,189,21=162.09

ninety percent of the total nine trials of this type will last162days or more.

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 91Ó°ÊÓ!

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 distribution of income in some Third World countries is considered wedge shaped (many very poor people, very few middle income people, and even fewer wealthy people). Suppose we pick a country with a wedge shaped distribution. Let the average salary be \(2,000per year with a standard deviation of \)8,000. We randomly survey 1,000residents of that country.

a. In words,Χ=_____________

b. In words,X=_____________

c.X¯~_____(_____,_____)

d. How is it possible for the standard deviation to be greater than the average?

e. Why is it more likely that the average of the 1,000residents will be from \(2,000to \)2,100than from \(2,100to\)2,200?

The cost of unleaded gasoline in the Bay Area once followed an unknown distribution with a mean of \(4.59and a standard deviation of \)0.10. Sixteen gas stations from the Bay Area are randomly chosen. We are interested in the average cost of gasoline for the 16gas stations. The distribution to use for the average cost of gasoline for the 16gas stations is:

a.X¯~N(4.59,0.10)

b.X¯~N4.59,0.1016

c.X¯~N4.59,160.10

d.X¯~N4.59,160.10

64. Suppose that a category of world-class runners is known to run a marathon ( 26 miles) in an average of 145 minutes with a standard deviation of 14 minutes. Consider 49 of the races. Let X-be the average of the 49 races.

a. role="math" localid="1652281768411" X-~(___)

b. Find the probability that the runner will average between 142 and 146 minutes in these 49 marathons.

c. Find the 80th percentile for the average of these 49 marathons.

d. Find the median of the average running times.

Cans of a cola beverage claim to contain 16 ounces. The amounts in a sample are measured and the statistics are n=34,x¯=16.01ounces. If the cans are filled so that μ=16.00ounces (as labeled) and σ=0.143ounces, find the probability that a sample of 34 cans will have an average amount greater than 16.01ounces. Do the results suggest that cans are filled with an amount greater than 16 ounces?

An unknown distribution has a mean of 80and a standard deviation of 12. A sample size of 95is drawn randomly from the population.

Find the probability that the sum of the 95values is greater than 7650.

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.