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In Exercises 9鈥12, find the area of the shaded region. The graph depicts the standard normal distribution of bone density scores with mean 0 and standard deviation 1.

Short Answer

Expert verified

The area of the shaded region is 0.6992.

Step by step solution

01

Given information

A shaded region is shown in the graph for the standard normal distribution of bone density scores.

02

State the relationship between area and probability 

Any curve with a total area equal to 1 has a one-to-one relationship of the area under the curve with the probability.

The left-tailed area is equal to cumulative probabilities, which can be obtained using the standard normal table for z-scores.

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

03

Find the probability

It is required to compute the area between the two z-scores-0.84 and 1.28.

Mathematically, you can say the following:

Areabetween-0.84and1.28=Areatotheleftof1.28-Areatotheleftof-0.84=PZ<1.28-PZ<-0.84...1

By using the standard normal table,

  • the area to the left of 1.28 is obtained from the table in the intersection cell with row value 1.2 and the column value 0.08, which is obtained as 0.8997.
  • the area to the left of -0.84 is obtained from the table in the intersection cell with row value -0.8 and the column value 0.04, which is obtained as 0.2005.

Mathematically, it is expressed as follows:

Areatotheleftof1.28=PZ<1.28=0.8997Areatotheleftof-0.84=PZ<-0.84=0.2005

Substitute the values into equation (1).

Areabetween-0.84and1.28=0.8997-0.2005=0.6992

Thus, the shaded area between -0.84 and 1.28 is equal to 0.6992.

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Most popular questions from this chapter

Bone Density Test A bone mineral density test is used to identify a bone disease. The result of a bone density test is commonly measured as a z score, and the population of z scores is normally distributed with a mean of 0 and a standard deviation of 1.

a. For a randomly selected subject, find the probability of a bone density test score less than 1.54.

b. For a randomly selected subject, find the probability of a bone density test score greater than -1.54.

c. For a randomly selected subject, find the probability of a bone density test score between -1.33 and 2.33.

d. Find Q1, the bone density test score separating the bottom 25% from the top 75%.

e. If the mean bone density test score is found for 9 randomly selected subjects, find the probability that the mean is greater than 0.50.

Outliers For the purposes of constructing modified boxplots as described in Section 3-3, outliers are defined as data values that are aboveQ3 by an amount greater than1.5IQR or below Q1by an amount greater than1.5IQR, where IQR is the interquartile range. Using this definition of outliers, find the probability that when a value is randomly selected from a normal distribution, it is an outlier.

Water Taxi SafetyWhen a water taxi sank in Baltimore鈥檚 Inner Harbor, an investigation revealed that the safe passenger load for the water taxi was 3500 lb. It was also noted that the mean weight of a passenger was assumed to be 140 lb. Assume a 鈥渨orst-case鈥 scenario in which all of

the passengers are adult men. Assume that weights of men are normally distributed with a mean of 188.6 lb and a standard deviation of 38.9 lb (based on Data Set 1 鈥淏ody Data鈥 in Appendix B).

a. If one man is randomly selected, find the probability that he weighs less than 174 lb (the new value suggested by the National Transportation and Safety Board).

b. With a load limit of 3500 lb, how many male passengers are allowed if we assume a mean weight of 140 lb?

c. With a load limit of 3500 lb, how many male passengers are allowed if we assume the updated mean weight of 188.6 lb?

d. Why is it necessary to periodically review and revise the number of passengers that are allowed to board?

Example 2 referred to an elevator with a maximum capacity of 4000 lb. When rating elevators, it is common to use a 25% safety factor, so the elevator should actuallybe able to carry a load that is 25% greater than the stated limit. The maximum capacity of 4000 lb becomes 5000 lb after it is increased by 25%, so 27 adult male passengers can have a mean weight of up to 185 lb. If the elevator is loaded with 27 adult male passengers, find the probability that it is overloaded because they have a mean weight greater than 185 lb. (As in Example 2, assume that weights of males are normally distributed with a mean of 189 lb and a standard deviation of 39 lb.) Does this elevator appear to be safe?

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