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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

Short Answer

Expert verified

The probability for waiting time between 2 minutes and 3 minutes is 0.2.

Step by step solution

01

Given information

The graph for a uniform distribution is given with an area enclosed equally to 1.

02

State the relationship between area and probability

There is a one-to-one association between probability and the area of the curve between the range. It holds under the condition when the total area is equal to 1.

Thus,the probability that the waiting time between 2 minutes and 3 minutes would be the same as the area of the shaded region shown below.

Moreover, the area of the shaded region is the difference between the area to the left of 2 minutes and the area to the left of 3 minutes.

03

 Step 3: Find the probability

The probability that the waiting time is between 2 minutes and 3 minutes is shown below:

P2<X<3=Areatotheleftof3-Areatotheleftof2...1

Areatotheleftof3=Length×width=0.2×3-0=0.6...2

Areatotheleftof2=Length×width=0.2×2-0=0.4...3

Substitute (2) and (3) into equation (1).

P2<X<3=0.6-0.4=0.2

Thus, the probability of selecting a passenger randomly when the waiting time is between 2 minutes and 3 minutes is 0.2.

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Most popular questions from this chapter

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

For males, find P90, which is the length separating the bottom 90% from the top 10%.

In Exercises 11–14, use the population of {34, 36, 41, 51} of the amounts of caffeine (mg/12oz) in Coca-Cola Zero, Diet Pepsi, Dr Pepper, and Mellow Yello Zero.

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

Sampling Distribution of the Median Repeat Exercise 11 using medians instead of means.

In Exercises 7–10, use the same population of {4, 5, 9} that was used in Examples 2 and 5. As in Examples 2 and 5, assume that samples of size n = 2 are randomly selected with replacement.

Sampling Distribution of the Sample Variance

a. Find the value of the population variance σ2.

b. Table 6-2 describes the sampling distribution of the sample mean. Construct a similar table representing the sampling distribution of the sample variance s2. Then combine values of s2that are the same, as in Table 6-3 (Hint: See Example 2 on page 258 for Tables 6-2 and 6-3, which describe the sampling distribution of the sample mean.)

c. Find the mean of the sampling distribution of the sample variance.

d. Based on the preceding results, is the sample variance an unbiased estimator of the population variance? Why or why not?

Using a Formula to Describe a Sampling Distribution Exercise 15 “Births” requires the construction of a table that describes the sampling distribution of the proportions of girls from two births. Consider the formula shown here, and evaluate that formula using sample proportions (represented by x) of 0, 0.5, and 1. Based on the results, does the formula describe the sampling distribution? Why or why not?

Px=122-2x!2x!wherex=0,0.5,1

Hybridization A hybridization experiment begins with four peas having yellow pods and one pea having a green pod. Two of the peas are randomly selected with replacement from this population.

a. After identifying the 25 different possible samples, find the proportion of peas with yellow pods in each of them, then construct a table to describe the sampling distribution of the proportions of peas with yellow pods.

b. Find the mean of the sampling distribution.

c. Is the mean of the sampling distribution [from part (b)] equal to the population proportion of peas with yellow pods? Does the mean of the sampling distribution of proportions always equal the population proportion?

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