Standard normal distribution, assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed with a mean of 0 and a standard deviation of 1. In each case, Draw a graph, then find the probability of the given bone density test score. If using technology instead of Table A-2, round answers to four decimal places.

Less than 4.55

Short Answer

Expert verified

The graph for the bone density test score less than 4.55 is as follows.

The probability of the bone density test score less than 4.55 is 0.9999.

Step by step solution

01

Given information

The bone density test scores are normally distributed with a mean of 0 and a standard deviation of 1.

02

Describe the distribution

The distribution of bone density follows the standard normal distribution, and the variable for bone density is denoted by Z.

Thus,

Z~Nμ,σ2~N0,12

03

Sketch a graph that the z-score is less than 4.55

Steps to draw a normal curve:

  1. Make a horizontal axis and a vertical axis.
  2. Mark the points -4, -3, -2 up to 6 on the horizontal axis and points 0, 0.05, 0.10 up to 0.50 on the vertical axis.
  3. Provide titles to the horizontal and vertical axes as z and P(z), respectively.
  4. Shade the region less than 4.55.

The shaded area of the graph indicates the probability that the z-score is lesser than 4.55.

04

Find the cumulative area corresponding to the z-score

Referring to the standard normal table for the negative z-score, the cumulative probability of 4.55 is obtained from the cell intersection for row 4.5 and the column value of 0.05, which is 0.9999.

As the probability and area have a one-to-one correspondence, the probability that the bone density test score is less than 4.55 is computed as

Areatoleftof4.55=PZ<4.55=0.9999

.

Thus, the probability of the bone density test score less than 4.55 is 0.9999.

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Most popular questions from this chapter

College Presidents There are about 4200 college presidents in the United States, and they have annual incomes with a distribution that is skewed instead of being normal. Many different samples of 40 college presidents are randomly selected, and the mean annual income is computed for each sample. a. What is the approximate shape of the distribution of the sample means (uniform, normal, skewed, other)?

b. What value do the sample means target? That is, what is the mean of all such sample means?

Standard Normal DistributionIn Exercises 17–36, assume that a randomly selected subject is given a bone density test. Those test scores are normally distributed with a mean of 0 and a standard deviation of 1. In each case, draw a graph, then find the probability of the given bone density test scores. If using technology instead of Table A-2, round answers

to four decimal places.

Between 2.00 and 3.00.

In Exercises 9–12, 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.

Continuous Uniform Distribution. In Exercises 5–8, refer to the continuous uniform distribution depicted in Figure 6-2 and described in Example 1. Assume that a passenger is randomly selected, and find the probability that the waiting time is within the given range.

Between 2 minutes and 3 minutes

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

Normal

Females

22.7 in

1.0 in

Normal

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

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