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In Exercises 5鈥20, assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with 鈥淭able鈥 answers based on Table A-3 with df equal to the smaller of n1鈭1 and n2鈭1.)Color and Creativity Researchers from the University of British Columbia conducted trials to investigate the effects of color on creativity. Subjects with a red background were asked to think of creative uses for a brick; other subjects with a blue background were given the same task. Responses were scored by a panel of judges and results from scores of creativity are given below. Higher scores correspond to more creativity. The researchers make the claim that 鈥渂lue enhances performance on a creative task.鈥

a. Use a 0.01 significance level to test the claim that blue enhances performance on a creative task. b. Construct the confidence interval appropriate for the hypothesis test in part (a). What is it about the confidence interval that causes us to reach the same conclusion from part (a)?Red Background: n = 35, x = 3.39, s = 0.97Blue Background: n = 36, x = 3.97, s = 0.63

Short Answer

Expert verified

a. There is sufficient evidence that students with a blue background have performed better as compared to students with a red background.

b. The confidence interval for the difference between the means of the sample is (-1.11,-0.049). As 0 is not included in the interval, the result is supportive of the claim of this test. Therefore, the confidence interval also gives the same conclusion as part (a).

Step by step solution

01

Given information

The claim attempts to test if a blue background enhances creativity scores at a 0.01 level of significance.

1stsample:Red Backgroundn1=35,s1=0.97x1=3.39

2ndsample:Blue Backgroundn2=36s2=0.63x2=3.97

02

State the hypothesis 

a.

As per the claim, the hypotheses are formulated as follows:

H0:1=2H1:1<2

Here, 1,2are the population means of creativity scores for red background and blue background, respectively.

03

Compute the test statistic

This is an example of two independent samples t-test about means.

The formula for test-statistic is given below.

t=x1-x2-1-2s12n1+s22n2

04

Find degrees of freedom and critical value

For t-distribution, find degrees of freedom as follows:

df=minn1-1,n2-1=min35-1,36-1=34

For a left tailed test, the critical values are obtained as follows:

Pt<t=Pt<t0.01=0.01

Thus, the critical value obtained from the t-table for 34 degrees of freedom is -2.441.

05

Compute the test statistic

The test statistic of the means of populations is as follows:

tstat=x1-x2s12n1+s22n2=3.39-3.970.97235+0.63236=-2.979

The test statistic is t=-2.987.

06

State the decision rule using the critical value

The decision criterion for this problem statement is given below.

If thetest statistic is lesser than the critical value, reject the null hypothesis at level of significance.

If the test statistic is greater than the critical value, fail to accept the null hypothesis at level of significance.

In this case, -2.979<-2.441. Thus, the null hypothesis is rejected.

It shows that there is enough evidence to support the claim that students with a red background were less creative than students with a blue background.

07

Confidence interval for the difference of means of population

b.

The confidence level corresponding to the 0.01 level of significance for a one-tailed test is 98%.

The formula for the confidence interval of the means of population is given by

x1-x2-E<1-2<x1-x2+E

E is the margin of error and the formula for the margin of error is as follows:

E=t2s12n1+s22n2=t0.0220.97235+0.63236=2.4410.1947=0.475

Substitute all derived values in the formula and find the confidence interval.

C.I=x1-x2-E<1-2<x1-x2+E=3.39-3.97-0.475<1-2<3.39-3.97+0.475=-1.06<1-2<-0.10

The confidence interval of 98% lies between -1.06 and -0.10.

08

Conclude the results from confidence interval

The interval does not include 0; so there is enough evidence to support the claim that the mean creativity score with blue background is greater than red background.

Thus, it implies that blue enhances creativity score.

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Most popular questions from this chapter

Testing Claims About Proportions. In Exercises 7鈥22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Denomination Effect A trial was conducted with 75 women in China given a 100-yuan bill, while another 75 women in China were given 100 yuan in the form of smaller bills (a 50-yuan bill plus two 20-yuan bills plus two 5-yuan bills). Among those given the single bill, 60 spent some or all of the money. Among those given the smaller bills, 68 spent some or all of the money (based on data from 鈥淭he Denomination Effect,鈥 by Raghubir and Srivastava, Journal of Consumer Research, Vol. 36). We want to use a 0.05 significance level to test the claim that when given a single large bill, a smaller proportion of women in China spend some or all of the money when compared to the proportion of women in China given the same amount in smaller bills.

a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

c. If the significance level is changed to 0.01, does the conclusion change?

Using Confidence Intervals

a. Assume that we want to use a 0.05 significance level to test the claim that p1 < p2. Which is better: A hypothesis test or a confidence interval?

b. In general, when dealing with inferences for two population proportions, which two of the following are equivalent: confidence interval method; P-value method; critical value method?

c. If we want to use a 0.05 significance level to test the claim that p1 < p2, what confidence level should we use?

d. If we test the claim in part (c) using the sample data in Exercise 1, we get this confidence interval: -0.000508 < p1 - p2 < - 0.000309. What does this confidence interval suggest about the claim?

Interpreting Displays.

In Exercises 5 and 6, use the results from the given displays.

Treating Carpal Tunnel Syndrome Carpal tunnel syndrome is a common wrist complaintresulting from a compressed nerve, and it is often the result of extended use of repetitive wristmovements, such as those associated with the use of a keyboard. In a randomized controlledtrial, 73 patients were treated with surgery and 67 were found to have successful treatments.Among 83 patients treated with splints, 60 were found to have successful treatments (based ondata from 鈥淪plinting vs Surgery in the Treatment of Carpal Tunnel Syndrome,鈥 by Gerritsenet al., Journal of the American Medical Association, Vol. 288, No. 10). Use the accompanyingStatCrunch display with a 0.01 significance level to test the claim that the success rate is better with surgery.

Independent and Dependent Samples Which of the following involve independent samples?

a. Data Set 14 鈥淥scar Winner Age鈥 in Appendix B includes pairs of ages of actresses and actors at the times that they won Oscars for Best Actress and Best Actor categories. The pair of ages of the winners is listed for each year, and each pair consists of ages matched according to the year that the Oscars were won.

b. Data Set 15 鈥淧residents鈥 in Appendix B includes heights of elected presidents along with the heights of their main opponents. The pair of heights is listed for each election.

c. Data Set 26 鈥淐ola Weights and Volumes鈥 in Appendix B includes the volumes of the contents in 36 cans of regular Coke and the volumes of the contents in 36 cans of regular Pepsi.

In Exercises 5鈥20, assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. (Note: Answers in Appendix D include technology answers based on Formula 9-1 along with 鈥淭able鈥 answers based on Table A-3 with df equal to the smaller of\({n_1} - 1\)and\({n_2} - 1\).) Car and Taxi Ages When the author visited Dublin, Ireland (home of Guinness Brewery employee William Gosset, who first developed the t distribution), he recorded the ages of randomly selected passenger cars and randomly selected taxis. The ages can be found from the license plates. (There is no end to the fun of traveling with the author.) The ages (in years) are listed below. We might expect that taxis would be newer, so test the claim that the mean age of cars is greater than the mean age of taxis.

Car

Ages

4

0

8

11

14

3

4

4

3

5

8

3

3

7

4

6

6

1

8

2

15

11

4

1

1

8

Taxi Ages

8

8

0

3

8

4

3

3

6

11

7

7

6

9

5

10

8

4

3

4

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