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Refer to Exercise 10.83 and find a 90 % confidence interval for the difference between the mean numbers of acute postoperative days in the hospital with the dynamic and static systems.

Short Answer

Expert verified

The interval is 0.00264 to 0.01299

Step by step solution

01

:Given information

With the dynamic and static systems, calculate a 90%confidence interval for the difference in the mean numbers of acute postoperative days in the hospital.

02

calculation

The degree of freedom is computed using the formula:

df=[(s12n1)+(s22n2)]2(s1n1)2n1โˆ’1+(s22n2)2n2โˆ’1=[(0.00514210)+(0.00470215)]2(0.00614210)210โˆ’1+(0.00470215)215โˆ’1โ‰ˆ18

The interval's end point is,

xยฏ1โˆ’xยฏ2ยฑta2โ‹…s12n1+s22n2=(0.24246โˆ’0.01643)ยฑ2.552.0.00514210+0.00470215

=0.00264to0.01299

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Most popular questions from this chapter

In Exercises 5โ€“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 โ€œTableโ€ answers based on Table A-3 with df equal to the smaller of n1โˆ’1 and n2โˆ’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

Determining Sample Size The sample size needed to estimate the difference between two population proportions to within a margin of error E with a confidence level of 1 - a can be found by using the following expression:

E=zฮฑ2p1q1n1+p2q2n2

Replace n1andn2 by n in the preceding formula (assuming that both samples have the same size) and replace each of role="math" localid="1649424190272" p1,q1,p2andq2by 0.5 (because their values are not known). Solving for n results in this expression:

n=zฮฑ222E2

Use this expression to find the size of each sample if you want to estimate the difference between the proportions of men and women who own smartphones. Assume that you want 95% confidence that your error is no more than 0.03.

Assessing Normality Interpret the normal quantile plot of heights of fathers.

Heights Use a 0.01 significance level with the sample data from Exercise 3 to test the claim that women have heights with a mean that is less than the mean height of men.

Braking Reaction Times: Histogram Listed below are sorted braking reaction times (in 1>10,000 sec) for male and female subjects (based on data from the RT-2S Brake Reaction Time Tester). Construct a histogram for the reaction times of males. Use a class width of 8 and use 28 as the lower limit of the first class. For the horizontal axis, use class midpoint values. Does it appear that the data are from a population with a normal distribution?

Males

28

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34

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Females

22

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80

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