Exercises 1–5 refer to the sample data in the following table, which summarizes the last digits of the heights (cm) of 300 randomly selected subjects (from Data Set 1 “Body Data” in Appendix B). Assume that we want to use a 0.05 significance level to test the claim that the data are from a population having the property that the last digits are all equally likely.

Last Digit

0

1

2

3

4

5

6

7

8

9

Frequency

30

35

24

25

35

36

37

27

27

24

What are the null and alternative hypotheses corresponding to the stated claim?

Short Answer

Expert verified

The null hypothesis and the alternative hypothesis for the given problem is as follows:

\(\begin{aligned}{l}{H_0}:{p_0} = {p_1} = {p_2} = ... = {p_9}\\{H_1}:{\rm{Atleast}}\;{\rm{one}}\;{\rm{of}}\;{\rm{the}}\;{\rm{probabilities}}\;{\rm{is}}\;{\rm{diiferent}}{\rm{.}}\end{aligned}\)

Step by step solution

01

Given information

The last digits of the heights of a sample of people are tabulated along with their respective frequencies.

02

Hypotheses

The claim is to test that the sample is chosen from the population with the property that the has last digits of the heights of people are equally likely to occur.

Let\({p_0},{p_1},{p_2},...,{p_9}\)be the probabilities of the last digitof the heights of a sample of people.

The null hypothesis is written as follows:

The probabilities of the last digits of the heights of people are likely to occur equally.

The alternative hypothesis is written as follows:

The probabilities of the last digits of the heights of people are not likely to occur equally.

In terms of notations, the null and alternative hypothesis is:

\(\begin{aligned}{l}{H_0}:{p_0} = {p_1} = {p_2} = ... = {p_9}\\{H_1}:{\rm{Atleast}}\;{\rm{one}}\;{\rm{of}}\;{\rm{the}}\;{\rm{probabilities}}\;{\rm{is}}\;{\rm{diiferent}}{\rm{.}}\end{aligned}\)

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Most popular questions from this chapter

Exercises 1–5 refer to the sample data in the following table, which summarizes the last digits of the heights (cm) of 300 randomly selected subjects (from Data Set 1 “Body Data” in Appendix B). Assume that we want to use a 0.05 significance level to test the claim that the data are from a population having the property that the last digits are all equally likely.

Last Digit

0

1

2

3

4

5

6

7

8

9

Frequency

30

35

24

25

35

36

37

27

27

24

Given that the P-value for the hypothesis test is 0.501, what do you conclude? Does it appear that the heights were obtained through measurement or that the subjects reported their heights?

Winning team data were collected for teams in different sports, with the results given in the table on the top of the next page (based on data from “Predicting Professional Sports Game Outcomes fromIntermediateGame Scores,” by Copper, DeNeve, and Mosteller, Chance,Vol. 5, No. 3–4). Use a 0.10significance level to test the claim that home/visitor wins are independent of the sport. Given that among the four sports included here, baseball is the only sport in which the home team canmodify field dimensions to favor its own players, does it appear that baseball teams are effective in using this advantage?

Basketball

Baseball

Hockey

Football

Home Team Wins

127

53

50

57

Visiting Team Wins

71

47

43

42

Forward Grip Reach and Ergonomics When designing cars and aircraft, we must consider the forward grip reach of women. Women have normally distributed forward grip reaches with a mean of 686 mm and a standard deviation of 34 mm (based on anthropometric survey data from Gordon, Churchill, et al.).

a. If a car dashboard is positioned so that it can be reached by 95% of women, what is the shortest forward grip reach that can access the dashboard?

b. If a car dashboard is positioned so that it can be reached by women with a grip reach greater than 650 mm, what percentage of women cannot reach the dashboard? Is that percentage too high?

c. Find the probability that 16 randomly selected women have forward grip reaches with a mean greater than 680 mm. Does this result have any effect on the design?

Flat Tire and Missed Class A classic story involves four carpooling students who missed a test and gave as an excuse a flat tire. On the makeup test, the instructor asked the students to identify the particular tire that went flat. If they really didn’t have a flat tire, would they be able to identify the same tire? The author asked 41 other students to identify the tire they would select. The results are listed in the following table (except for one student who selected the spare). Use a 0.05 significance level to test the author’s claim that the results fit a uniform distribution. What does the result suggest about the likelihood of four students identifying the same tire when they really didn’t have a flat tire?

Tire

Left Front

Right Front

Left Rear

Right Rear

Number Selected

11

15

8

16

Weather-Related Deaths For a recent year, the numbers of weather-related U.S. deaths for each month were 28, 17, 12, 24, 88, 61, 104, 32, 20, 13, 26, 25 (listed in order beginning with January). Use a 0.01 significance level to test the claim that weather-related deaths occur in the different months with the same frequency. Provide an explanation for the result.

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