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In a study of the “denomination effect,” 43 college students

were each given one dollar in the form of four quarters, while 46 other college students were each given one dollar in the form of a dollar bill. All of the students were then given two choices: (1) keep the money; (2) spend the money on gum. The results are given in the accompanying table (based on “The Denomination Effect,” by PriyaRaghubir and Joydeep Srivastava, Journal of Consumer Research,Vol. 36.) Use a 0.05 significance level to test the claim that whether students purchased gum or kept the money is independent of whether they were given four quarters or a \(1 bill. Is there a “denomination effect”?

Purchased Gum

Kept the Money

Students Given Four Quarters

27

16

Students Given a \)1 Bill

12

34

Short Answer

Expert verified

At 0.05 level of significance, it can be concluded that students purchased gum or kept the money is dependent on whether they were given four quarters or a $1 bill.

Thus, there is a denomination effect.

Step by step solution

01

Given information

The data for thepurchase of the gum and denominations is provided.

The level of significance is 0.05.

02

Compute the expected frequencies

Theexpected frequency is computed as,

\(E = \frac{{\left( {row\;total} \right)\left( {column\;total} \right)}}{{\left( {grand\;total} \right)}}\)

The observed values with the totals for row and column are represented as,


Purchased Gum

Kept the Money

Row total

Students Given Four Quarters

27

16

43

Students Given a $1 Bill

12

34

46

Column total

39

50

89

Theexpected frequency table is represented as,


Purchased Gum

Kept the Money

Students Given Four Quarters

18.843

24.157

Students Given a $1 Bill

20.157

25.843

03

State the null and alternate hypothesis

The hypotheses to test the independence are formulated as follows:

\({H_0}:\)Students who purchased gum or kept the money is independent of the denomination received.

\({H_1}:\)Students who purchased gum or kept the money is dependent on the denomination received.

04

Compute the test statistic

The value of the test statisticis computed as,

\[\begin{array}{c}{\chi ^2} = \sum {\frac{{{{\left( {O - E} \right)}^2}}}{E}} \\ = \frac{{{{\left( {27 - 18.843} \right)}^2}}}{{18.843}} + \frac{{{{\left( {16 - 24.157} \right)}^2}}}{{24.157}} + ... + \frac{{{{\left( {34 - 25.843} \right)}^2}}}{{25.843}}\\ = 12.162\end{array}\]

Therefore, the value of the test statistic is 12.162.

05

Compute the degrees of freedom

The degrees of freedomare computed as,

\(\begin{array}{c}\left( {r - 1} \right)\left( {c - 1} \right) = \left( {2 - 1} \right)\left( {2 - 1} \right)\\ = 1\end{array}\)

Therefore, the degrees of freedom are 1.

06

Compute the critical value

From chi-square distribution table, the critical value for row corresponding to 1 degree of freedom and at 0.05 level of significance 3.841.

Therefore, the critical value is 3.841.

The p-value is obtained as 0.000.

07

State the decision

The critical value (3.841) is less than the value of the test statistic (12.162). In this case, the null hypothesis is rejected.

Therefore, the decision is to reject the null hypothesis.

08

State the conclusion

There issufficient evidence to reject the claimthat the students’ purchase is independent of the denomination they received(four quarters or a $1 bill). Thus, the two variables are dependent.

Therefore, it appears that there is a denomination effect as denomination affects expenditure.

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Most popular questions from this chapter

Cybersecurity The table below lists leading digits of 317 inter-arrival Internet traffic times for a computer, along with the frequencies of leading digits expected with Benford’s law (from Table 11-1 in the Chapter Problem).

a. Identify the notation used for observed and expected values.

b. Identify the observed and expected values for the leading digit of 2.

c. Use the results from part (b) to find the contribution to the\({\chi ^2}\)test statistic from the category representing the leading digit of 2.

Leading Digit

1

2

3

4

5

6

7

8

9

Benford’s

Law

30.1%

17.6%

12.5%

9.7%

7.9%

6.7%

5.8%

5.1%

4.6%

Leading Digits

of Inter-Arrival

Traffic Times

76

62

29

33

19

27

28

21

22

Cybersecurity When using the data from Exercise 1 to test for goodness-of-fit with the distribution described by Benford’s law, identify the null and alternative hypotheses.

In Exercises 5–20, conduct the hypothesis test and provide the test statistic and the P-value and , or critical value, and state the conclusion.

World Series Games The table below lists the numbers of games played in 105 Major League Baseball (MLB) World Series. This table also includes the expected proportions for the numbers of games in a World Series, assuming that in each series, both teams have about the same chance of winning. Use a 0.05 significance level to test the claim that the actual numbers of games fit the distribution indicated by the expected proportions.

Games Played

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A randomized controlled trial was designed to compare the effectiveness of splinting versus surgery in the treatment of carpal tunnel syndrome. Results are given in the table below (based on data from “Splinting vs. Surgery in the Treatment of Carpal Tunnel Syndrome,” by Gerritsen et al., Journal of the American Medical Association,Vol. 288,

No. 10). The results are based on evaluations made one year after the treatment. Using a 0.01 significance level, test the claim that success is independent of the type of treatment. What do the results suggest about treating carpal tunnel syndrome?

Successful Treatment

Unsuccessful Treatment

Splint Treatment

60

23

Surgery Treatment

67

6

Benford’s Law. According to Benford’s law, a variety of different data sets include numbers with leading (first) digits that follow the distribution shown in the table below. In Exercises 21–24, test for goodness-of-fit with the distribution described by Benford’s law.

Leading Digits

Benford's Law: Distributuon of leading digits

1

30.10%

2

17.60%

3

12.50%

4

9.70%

5

7.90%

6

6.70%

7

5.80%

8

5.10%

9

4.60%

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