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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

Short Answer

Expert verified

There is not enough evidence to support the statement that thenumber of students that select the four tires does not follow a uniform distribution. Thus, the students cannot identify the correct tire.

The likelihood of the four students to identify the same tire as the flat tire is marginal.

Step by step solution

01

Given information

Forty-onestudents are required to select one of the four tires to examine whether the four students who missed the test actually had a flat tire. Of 41, one was not included as he used a spare tire.

02

Check the requirements of the test

Let O denote the observed frequencies of students who guess the four tires.

Let E denote the frequencies of students who are expected to guess each of the four tires according to the uniform distribution.

Thus, if the students are uniformly distributed, the frequency corresponding to each tire is computed below:

\(\begin{aligned}{c}E = \frac{{{\rm{Total}}\;{\rm{number}}\;{\rm{of}}\;{\rm{students}}}}{{{\rm{Total}}\;{\rm{number}}\;{\rm{of}}\;{\rm{tires}}}}\\ = \frac{{40}}{4}\\ = 10\end{aligned}\)

Assume the students are randomly selected, and as allthe expected values are greater than 5, the test requirements are fulfilled.

03

State the hypotheses

The null hypothesis for conducting the given test is as follows:

The number of students whoselect the four tires followsa uniform distribution. Thus, the students cannot identify the correct tire.

The alternative hypothesis for conducting the given test is as follows:

The number of students whoselect the four tires does not follow a uniform distribution. Thus, the students can identify the correct tire.

04

Conduct the hypothesis

The table given below shows the necessary calculations.

Tire Category

O

E

\(\left( {O - E} \right)\)

\({\left( {O - E} \right)^2}\)

\(\frac{{{{\left( {O - E} \right)}^2}}}{E}\)

Left Front

11

10

1

1

0.1

Right Front

15

10

5

25

2.5

Left Rear

8

10

-2

4

0.4

Right Rear

6

10

-4

16

1.6

The value of the test statistic can be given as follows:

\(\begin{aligned}{c}{\chi ^2} = \sum {\frac{{{{\left( {O - E} \right)}^2}}}{E}} \\ = 0.1 + 2.5 + 0.4 + 1.6\\ = 4.6\end{aligned}\)

Thus,\({\chi ^2} = 4.6\).

Let k be the number of types of tire categories, which is4.

The degrees of freedom for\({\chi ^2}\)is computed below:

\(\begin{aligned}{c}df = k - 1\\ = 4 - 1\\ = 3\end{aligned}\)

05

State a decision

The critical value of\({\chi ^2}\)at\(\alpha = 0.05\)with three degrees of freedom is equal to 7.815.

Moreover, the p-value is equal to 0.203.

Since the test statistic value is less than the critical value and the p-value is greater than 0.05, the null hypothesis is failed to be rejected.

06

State the conclusion

There is enough evidence to support the statement that thenumber of students that select the four tires followsa uniform distribution. Thus, the students cannot identify the correct tire.

Since the null hypothesis is rejected, it can be said that an equal number of students identify each of the four tires as the flat tire.

Itindicates that the likelihood of the four students identifying the same tire as the flat tire is relativelylow when they did not havea flat tire in reality.

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Most popular questions from this chapter

One Big Bill or Many Smaller Bills In a study of the “denomination effect,” 150 women in China were given either a single 100 yuan bill or a total of 100 yuan in smaller bills. The value of 100 yuan is about $15. The women were given the choice of spending the money on specific items or keeping the money. The results are summarized in the table below (based on “The Denomination Effect,” by Priya Raghubir and Joydeep Srivastava, Journal of Consumer Research, Vol. 36). Use a 0.05 significance level to test the claim that the form of the 100 yuan is independent of whether the money was spent. What does the result suggest about a denomination effect?

Spent the Money

Kept the Money

Women Given a Single 100-Yuan Bill

60

15

Women Given 100 Yuan in Smaller Bills

68

7

Weather-Related Deaths Review Exercise 5 involved weather-related U.S. deaths. Among the 450 deaths included in that exercise, 320 are males. Use a 0.05 significance level to test the claim that among those who die in weather-related deaths, the percentage of males is equal to 50%. Provide an explanation for the results.

Questions 6–10 refer to the sample data in the following table, which describes the fate of the passengers and crew aboard the Titanic when it sank on April 15, 1912. Assume that the data are a sample from a large population and we want to use a 0.05 significance level to test the claim that surviving is independent of whether the person is a man, woman, boy, or girl.


Men

Women

Boys

Girls

Survived

332

318

29

27

Died

1360

104

35

18

Identify the null and alternative hypotheses corresponding to the stated claim.

Critical Thinking: Was Allstate wrong? The Allstate insurance company once issued a press release listing zodiac signs along with the corresponding numbers of automobile crashes, as shown in the first and last columns in the table below. In the original press release, Allstate included comments such as one stating that Virgos are worried and shy, and they were involved in 211,650 accidents, making them the worst offenders. Allstate quickly issued an apology and retraction. In a press release, Allstate included this: “Astrological signs have absolutely no role in how we base coverage and set rates. Rating by astrology would not be actuarially sound.”

Analyzing the Results The original Allstate press release did not include the lengths (days) of the different zodiac signs. The preceding table lists those lengths in the third column. A reasonable explanation for the different numbers of crashes is that they should be proportional to the lengths of the zodiac signs. For example, people are born under the Capricorn sign on 29 days out of the 365 days in the year, so they are expected to have 29/365 of the total number of crashes. Use the methods of this chapter to determine whether this appears to explain the results in the table. Write a brief report of your findings.

Zodiac sign

Dates

Length(days)

Crashes

Capricorn

Jan.18-Feb. 15

29

128,005

Aquarius

Feb.16-March 11

24

106,878

Pisces

March 12-April 16

36

172,030

Aries

April 17-May 13

27

112,402

Taurus

May 14-June 19

37

177,503

Gemini

June 20-July 20

31

136,904

Cancer

July21-Aug.9

20

101,539

Leo

Aug.10-Sep.15

37

179,657

Virgo

Sep.16-Oct.30

45

211,650

Libra

Oct.31-Nov 22

23

110,592

Scorpio

Nov. 23-Nov. 28

6

26,833

Ophiuchus

Nov.29-Dec.17

19

83,234

Sagittarius

Dec.18-Jan.17

31

154,477

In a clinical trial of the effectiveness of echinacea for preventing

colds, the results in the table below were obtained (based on data from “An Evaluation of Echinacea Angustifoliain Experimental Rhinovirus Infections,” by Turner et al., NewEngland Journal of Medicine,Vol. 353, No. 4). Use a 0.05 significance level to test the claim that getting a cold is independent of the treatment group. What do the results suggest about the

effectiveness of echinacea as a prevention against colds?

Treatment Group


Placebo

Echinacea:

20% Extract

Echinacea:

60% Extract

Got a Cold

88

48

42

Did Not Get a Cold

15

4

10

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