/*! 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. 8 T2.8. Which of the following is ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

T2.8. Which of the following is not correct about a standard Normal distribution?
(a) The proportion of scores that satisfy 0<z<1.5is 0.4332.
(b) The proportion of scores that satisfy z<-1.0is 0.1587.
(c) The proportion of scores that satisfy z>2.0is 0.0228.
(d) The proportion of scores that satisfy z<1.5is 0.9332.
(e) The proportion of scores that satisfyz>-3.0is 0.9938.

Short Answer

Expert verified

Option (e) is a conventional Normal distribution that is incorrect; the proportion of scores that fulfil z>-3.0 is0.9938.

Step by step solution

01

Given information

(a) The proportion of scores that satisfy 0<z<1.5 is 0.4332.
(b) The proportion of scores that satisfy z<-1.0 is 0.1587.
(c) The proportion of scores that satisfy z>2.0 is 0.0228.
(d) The proportion of scores that satisfy z<1.5 is 0.9332.
(e) The proportion of scores that satisfy z>-3.0 is 0.9938.

02

Explanation

(a) In the normal probability table in the appendix, the proportion of scores less than 0is shown in the row with 0.0and the column with .00.

P(z<0)=0.5000

In the normal probability table in the appendix, in the row with 1.5and in the column with .00, the fraction of scores less than 1.5is shown.

P(z<1.5)=0.9332

The difference between the proportions of scores to the left of two z-scores is the proportion of scores between the two z-scores.

localid="1649920681288" P(0<z<1.5)=P(z<1.5)-P(z<0)=0.9332−0.5000=0.4332

Hence, the proportion of scores that satisfy 0<z<1.5is 0.4332So, the given statement is correct.

Command Ti83/84-calculator: Normalcdf (0,1.5,0,1)

03

Explanation

(b) The proportion of scores lower than -1.0is given in the normal probability table in the appendix in the row with -1.0and in the column with .00
P(z<-1.0)=0.1587
Hence, the proportion of scores that satisfy z<-1.0is 0.1587. So, the given statement is correct.
Command Ti83/84-calculator: Normalcdf(-1E99,-1.0,0,1)

04

Explanation

(c) The proportion of scores lower than 2.0is given in the normal probability table in the appendix in the row with 2.0and in the column with .00
P(z<2.0)=0.9772
The total probability needs to be1, thus the probability to the right of 2.0is 1decreased by the probability to the left of 2.0
P(z>2.0)=1-P(z<2.0)=1-0.9772=0.0228

Hence, the proportion of scores that satisfyz>2.0is 0.0228. So, the given statement is correct.

Command Ti83/84-calculator: Normalcdf (2.0,1E99,0,1)

05

Explanation

(d) The proportion of scores lower than 1.5is given in the normal probability table in the appendix in the row with 1.5and in the column with .00
P(z<1.5)=0.9332
Hence, the proportion of scores that satisfy z<1.5is 0.9332. So, the given statement is correct.
Command Ti83/84-calculator: Normalcdf(-1E99,1.5,0,1).

06

Explanation

(e) The proportion of scores lower than -3.0is given in the normal probability table in the appendix in the row with -3.0and in the column with.00
P(z<-3.0)=0.0013
The total probability needs to be 1, hence the probability to the right of 2.0is 1decreased by the probability to the left of 2.0
P(z>-3.0)=1-P(z<-3.0)=1-0.0013=0.9987

Hence, the proportion of scores that satisfy z>-3.0is0.9987. So, the given statement is not correct (as 0.9987is different from

0.9938).

Command Ti83/84-calculator: Normalcdf(-3.0,1E99,0,1).

So, the option (e) is correct.

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

T2.3. Rainwater was collected in water collectors at 30different sites near an industrial complex, and the amount of acidity (pH level) was measured. The mean and standard deviation of the values are 4.60and 1.10, respectively. When the pH meter was recalibrated back at the laboratory, it was found to be in error. The error can be corrected by adding 0.1pHunits to all of the values and then multiplying the result by 1.2. The mean and standard deviation of the corrected pH measurements are

(a)5.64,1.44

(b)5.64,1.32

(c)5.40,1.44

(d)5.40,1.32

(e)5.64,1.20

About what percent of calls lasted less than 30 minutes? 30 minutes or more?

Mrs. Munson is concerned about how her daughter’s height and weight compared with those of other girls of the same age. She uses an online calculator to determine that her daughter is at the 87th percentile for weight and the 67th percentile for height. Explain to Mrs. Munson what this means.

Questions 3 and 4 relate to the following setting. The graph displays the cumulative relative frequency of the lengths of phone calls made from the mathematics department office at Gabaldon High last month.

R2.10 Grading managers Many companies "grade on a bell curve" to compare the performance of their managers and professional workers. This forces the use of some low-performance ratings, so that not all workers are listed as "above average." Ford Motor Company's "performance management process" for a time assigned 10%A grades, 80%B grades, and 10%C grades to the company's 18,000managers. Suppose that Ford's performance scores really are Normally distributed. This year, managers with scores less than 25received C's, and those with scores above 475received A's. What are the mean and standard deviation of the scores? Show your work.

Comparing batting averages Three landmarks of baseball achievement are Ty Cobb’s batting average of 420in 1911, Ted Williams’s 406in 1941, and George Brett’s 390in 1980. These batting averages cannot be compared directly because the distribution of major league batting averages has changed over the years. The distributions are quite symmetric, except for outliers such as Cobb, Williams, and Brett. While the mean batting average has been held roughly constant

by rule changes and the balance between hitting and pitching, the standard deviation has dropped over time. Here are the facts: Compute the standardized batting averages for Cobb, Williams, and Brett to compare how far each stood above his peers.

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.