True?For the methods of this section, which of the following statements are true?

a.When testing a claim with ten matched pairs of heights, hypothesis tests using the P-valuemethod, critical value method, and confidence interval method will all result in the same conclusion.

b.The methods of this section are robustagainst departures from normality, which means that the distribution of sample differences must be very close to a normal distribution.

c.If we want to use a confidence interval to test the claim that\({{\bf{\mu }}_{\bf{d}}}{\bf{ < 0}}\)with a 0.01 significancelevel, the confidence interval should have a confidence level of 98%.

d.The methods of this section can be used with annual incomes of 50 randomly selected attorneysin North Carolina and 50 randomly selected attorneys in South Carolina.

e.With ten matched pairs of heights, the methods of this section require that we use n= 20.

Short Answer

Expert verified

a. The statement is true.

b. The statement is false.

c. The statement is true.

d. The statement is false.

e. The statement is false.

Step by step solution

01

Explain decision rules for the hypothesis test

a.

In case of matched pairs of heights, the p-value and critical value approaches are used to make a decision about the null hypothesis.

The values are computed on the same test statistic value and the critical region of same distribution. Simultaneously, the confidence interval on the corresponding level of confidence can be used to make the same decision.

Therefore, usually thethree methods p-value, critical value and confidence interval takes same distribution and standard error.

Therefore, given statement is true.

02

Explain requirement of the t-test.

b.

In hypothesis test, t-test is used when the data follows normal distribution. The requirement of t-test says that the data should follow normal distribution. But in paired t-test the property says that, it isrobustagainst departures from normality.

The phrase robust against departures from normality implies that the requirement for normal distribution in case of matched pair is loose (not strict).

Therefore, given statement is false.

03

Explain the selection of confidence interval

c.

The confidence interval percentage changes based on the tail of the test.

According to table 8-1 for two tailed test,\(98\% \)confidence level is used for\(\alpha = 0.02\)but for one tailed test, for the level of significance\({\bf{\alpha = 0}}{\bf{.01}},\)98% confidence level should be used.

Therefore, given statement is true.

04

Explain the difference between independent sample and dependent sample

d.

The variables are said to be independent if the given variables are not related to each other, or one variable do not influence the other. The variables are matched pairs when the samples of subjects are taken in two different situations.

In this case,50 randomly selected attorneys in North Carolina and 50 randomly selected attorneys in South Carolina different independent samples. They are not related to each other. Hence it cannot be used for matched pairs.

Therefore, given statement is false

05

Explain the selection of sample size.

e.

In matched pairs there will be two dependent variables which means the same sample is recorded in two different situation.

In ten matched pair of heights, the sample is only 10, but not 20 because they are matched, which means the 10 sample heights are given in two different situations. Hence the sample size (n) will be only 10.

Hence the given statement is false.

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Most popular questions from this chapter

In Exercises 5–20, 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 “Table” answers based on Table A-3 with df equal to the smaller of n1−1 and n2−1.)Color and Cognition Researchers from the University of British Columbia conducted a study to investigate the effects of color on cognitive tasks. Words were displayed on a computer screen with background colors of red and blue. Results from scores on a test of word recall are given below. Higher scores correspond to greater word recall.

a. Use a 0.05 significance level to test the claim that the samples are from populations with the same mean.

b. Construct a 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)?

c. Does the background color appear to have an effect on word recall scores? If so, which color appears to be associated with higher word memory recall scores?

Red Background n = 35, x = 15.89, s = 5.90

Blue Background n = 36, x = 12.31, s = 5.48

In Exercises 5–20, 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 “Table” answers based on Table A-3 with df equal to the smaller of n1−1 and n2−1.)

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 “blue enhances performance on a creative task.”

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 = 0.97

Blue Background: n = 36, x = 3.97, s = 0.63

Eyewitness Accuracy of Police Does stress affect the recall ability of police eyewitnesses? This issue was studied in an experiment that tested eyewitness memory a week after a nonstressful interrogation of a cooperative suspect and a stressful interrogation of an uncooperative and belligerent suspect. The numbers of details recalled a week after the incident were recorded, and the summary statistics are given below (based on data from “Eyewitness Memory of Police Trainees for Realistic Role Plays,” by Yuille et al., Journal of Applied Psychology, Vol. 79, No. 6). Use a 0.01 significance level to test the claim in the article that “stress decreases the amount recalled.”

Nonstress: n = 40,\(\bar x\)= 53.3, s = 11.6

Stress: n = 40,\(\bar x\)= 45.3, s = 13.2

Testing Claims About Proportions. In Exercises 7–22, 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.

Cardiac Arrest at Day and Night A study investigated survival rates for in hospital patients who suffered cardiac arrest. Among 58,593 patients who had cardiac arrest during the day, 11,604 survived and were discharged. Among 28,155 patients who suffered cardiac arrest at night, 4139 survived and were discharged (based on data from “Survival from In-Hospital Cardiac Arrest During Nights and Weekends,” by Puberty et al., Journal of the American Medical Association, Vol. 299, No. 7). We want to use a 0.01 significance level to test the claim that the survival rates are the same for day and night.

a. Test the claim using a hypothesis test.

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

c. Based on the results, does it appear that for in-hospital patients who suffer cardiac arrest, the survival rate is the same for day and night?

Testing Claims About Proportions. In Exercises 7–22, 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.

Bednets to Reduce Malaria In a randomized controlled trial in Kenya, insecticide-treated bednets were tested as a way to reduce malaria. Among 343 infants using bednets, 15 developed malaria. Among 294 infants not using bednets, 27 developed malaria (based on data from “Sustainability of Reductions in Malaria Transmission and Infant Mortality in Western Kenya with Use of Insecticide-Treated Bed nets,” by Lind blade et al., Journal of the American Medical Association, Vol. 291, No. 21). We want to use a 0.01 significance level to test the claim that the incidence of malaria is lower for infants using bed nets.

a. Test the claim using a hypothesis test.

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

c. Based on the results, do the bed nets appear to be effective?

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