/*! 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} Problem 21 Determine the following probabil... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Determine the following probabilities for the standard normal distribution. a. \(P(-1.83 \leq z \leq 2.57)\) b. \(P(0 \leq z \leq 2.02)\) c. \(P(-1.99 \leq z \leq 0)\) d. \(P(z \geq 1.48)\)

Short Answer

Expert verified
The probabilities are: for a, the area between -1.83 and 2.57; for b, the area between 0 and 2.02; for c, the area between -1.99 and 0; and for d, the area bigger than 1.48 in a standard normal distribution. The exact values would depend on the specific standard normal table used.

Step by step solution

01

Find the probabilities for each z-value

Use the standard normal table to find the area to the left of the given z-values. For a, look up the values for -1.83 and 2.57. For b, look up the values for 0 and 2.02. For c, look up the values for -1.99 and 0. For d, look up the value for 1.48.
02

Determine the probabilities

For a, b, and c, the probability is determined by subtracting the smaller z-value from the larger z-value. For d, the probability is found by subtracting the area from 1 since the question asks for the probability when z is greater than 1.48, and the standard normal table always gives the area to the left (i.e., probabilities for Z <= z).
03

Interpret the Results

Each of these probabilities represents the likelihood of the random variable Z falling within the described range in a standard normal distribution. The closer the probability is to 1, the higher the likelihood, the closer it is to 0, the lower the likelihood.

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

For the standard normal distribution, find the area within \(1.5\) standard deviations of the mean-that is, the area between \(\mu-1.5 \sigma\) and \(\mu+1.5 \sigma\).

The management at Ohio National Bank does not want its customers to wait in line for service for too long. The manager of a branch of this bank estimated that the customers currently have to wait an average of 8 minutes for service. Assume that the waiting times for all customers at this branch have a normal distribution with a mean of 8 minutes and a standard deviation of 2 minutes. a. Find the probability that a randomly selected customer will have to wait for less than 3 minutes. b. What percentage of the customers have to wait for 10 to 13 minutes? c. What percentage of the customers have to wait for 6 to 12 minutes? d. Is it possible that a customer may have to wait longer than 16 minutes for service? Explain.

Under what conditions is the normal distribution usually used as an approximation to the binomial distribution?

At Jen and Perry Ice Cream Company, a machine fills 1-pound cartons of Top Flavor ice cream. The machine can be set to dispense, on average, any amount of ice cream into these cartons. However, the machine does not put exactly the same amount of ice cream into each carton; it varies from carton to carton. It is known that the amount of ice cream put into each such carton has a normal distribution with a standard deviation of 18 ounce. The quality control inspector wants to set the machine such that at least \(90 \%\) of the cartons have more than 16 ounces of ice cream. What should be the mean amount of ice cream put into these cartons by this machine?

For a binomial probability distribution, \(n=25\) and \(p=.40\). a. Find the probability \(P(8 \leq x \leq 13)\) by using the table of binomial probabilities (Table I of Appendix C). b. Find the probability \(P(8 \leq x \leq 13)\) by using the normal distribution as an approximation to the binomial distribution. What is the difference between this approximation and the exact probability calculated in part 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.