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In Exercises 5–8, find the area of the shaded region. The graphs depict IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15 (as on the Wechsler IQ test).

Short Answer

Expert verified

The area of the shaded region is 0.1571.

Step by step solution

01

Given information

A shaded region is shown in the graph for the standard normal distribution of the IQ scores of adults.

The mean IQ score is 100.

The standard deviation of the IQ score is 15.

02

State the relationship between area and probability 

The left-tailed area is equal to the cumulative probabilities that are obtained by using the standard normal table (Table A-2) for z scores.

In the case of finding the right-tailed areas, the difference of these cumulative probabilities from 1 gives the required area toward the right of the z score.

03

Compute the z scores

Let X represent the IQ score of adults.

The variable X is normally distributed with the mean μ=100, and the standard deviation is σ=15.

The IQ scores are x=112and x=124.

The z score is computed as shown below.

For x=112,

z=x-μσ=112-10015=0.8

Therefore, the z score is 0.8.

For ,

z=x-μσ=124-10015=1.6

Therefore, the z score is 1.6.

04

Calculate the area of the shaded region

It is required to compute the area between 112 and 124, which is the same as the area between two z-scores: 0.8 and 1.6.

Mathematically,

Areabetween0.8and1.6=Areatotheleftof1.6-Areatotheleftof0.8=PZ<1.6-PZ<0.8...1

Using the standard normal table,

  • the area to the left of 1.6 is obtained from the table in the intersection cell with row value 1 and column value 0.6, which is obtained as 0.9452, and
  • the area to the left of 0.8 is obtained from the table in the intersection cell with row value 0 and column value 0.8, which is obtained as 0.7881.

Mathematically, it is expressed as shown below.

Areatotheleftof1.6=PZ<1.6=0.9452Areatotheleftof0.8=PZ<0.8=0.7881

Substitute the values in equation (1).

Areabetween0.8and1.6=0.9452-0.7881=0.1571

Therefore, the area of the shaded region is 0.1571.

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Most popular questions from this chapter

Basis for the Range Rule of Thumb and the Empirical Rule. In Exercises 45–48, find the indicated area under the curve of the standard normal distribution; then convert it to a percentage and fill in the blank. The results form the basis for the range rule of thumb and the empirical rule introduced in Section 3-2.

About______ % of the area is between z = -3.5 and z = 3.5 (or within 3.5 standard deviation of the mean).

In Exercises 13–20, use the data in the table below for sitting adult males and females (based on anthropometric survey data from Gordon, Churchill, et al.). These data are used often in the design of different seats, including aircraft seats, train seats, theater seats, and classroom seats. (Hint: Draw a graph in each case.)

Mean

St.Dev.

Distribution

Males

23.5 in

1.1 in

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Females

22.7 in

1.0 in

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Find the probability that a female has a back-to-knee length greater than 24.0 in.

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Assume that  random samples of size n = 2 are selected with replacement.

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a. After identifying the 16 different possible samples, find the mean of each sample, then construct a table representing the sampling distribution of the sample mean. In the table, combine values of the sample mean that are the same. (Hint: See Table 6-3 in Example 2 on page 258.)

b. Compare the mean of the population {34, 36, 41, 51} to the mean of the sampling distribution of the sample mean.

c. Do the sample means target the value of the population mean? In general, do sample means make good estimators of population means? Why or why not?

Good Sample? A geneticist is investigating the proportion of boys born in the world population. Because she is based in China, she obtains sample data from that country. Is the resulting sample proportion a good estimator of the population proportion of boys born worldwide? Why or why not?

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