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Height and Breast Cancer. In the article "Height and Weight at Various Ages and Risk of Breast Cancer" (Annals of Epidemiology, Vol. 2, pp. 597-609), L. Brinton and C. Swanson discussed the relationship between height and breast cancer. The study, sponsored by the National Cancer Institute, took 5years and involved more than 1500women with breast cancer and 2000women without breast cancer; it revealed a trend between height and breast cancer: {}^{*}. . taller women have a 50to 80percent greater risk of getting breast cancer than women who are closer to 5 feet tall." Christine Swanson, a nutritionist who was involved with the study, added, "... height may be a relationship between height and the risk of breast cancer.

a. Classify this study as either an observational study or a designed experiment. Explain your answer.

b. Interpret the statement made by Christine S wanson in light of your answer to part (a).

Short Answer

Expert verified

a). It is an observational study.

b). It's impossible to know for sure whether or not there is a link between women's height and their risk of breast cancer.

Step by step solution

01

Part (a) Step 1: Given Information

A study was conducted to investigate the link between height and breast cancer.

02

Part (a) Step 2: Explanation

An observational study examines the features of a population through the study of individuals in a sample, but does not attempt to modify or influence the variables of interest.

A controlled experiment administers a treatment to persons (known as experimental units or subjects) with the goal of isolating the treatment's effects on a response variable.

03

Part (b) Step 1: Given Information

A study was conducted to investigate the link between height and breast cancer.

04

Part (b) Step 2: Explanation

Taller women have a 50 to 80 percent higher risk of breast cancer than women who are less than 5 feet tall, according to the research.

The researcher nutritionist's statement makes logical because this tendency could be caused by other unknown factors. It's impossible to know for sure whether or not there is a link between women's height and their risk of breast cancer.

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Most popular questions from this chapter

Buckling Up. Refer to Exercise 11.109and find and interpret a 99%confidence interval for the difference between the proportions of seat-belt users for drivers in the age groups 16-24 years and 25-69 years.

Margin of error=0.03

Confidence level=99%

Educated guess=0.5

(a) Obtain a sample size that will ensure a margin of error of at most the one specified (provided of course that the observed value of the sample proportion is further from 0.5that of the educated guess.

(b). Compare your answer to the corresponding one and explain the reason for the difference, if any.

Suppose that you can make reasonably good educated guesses, p^1gand p^2g, for the observed values of p^1and p^2.

a. Use your result from Exercise 11.132to show that a (1-α)-level confidence interval for the difference between two population proportions that has an approximate margin of error of Ecan be obtained by choosing

n1=n2=p^1g1-p^1g+p^2g1-p^2gza/2E2

rounded up to the nearest whole number. Note: If you know likely ranges instead of exact educated guesses for the observed values of the two sample proportions, use the values in the ranges closest to 0.5as the educated guesses.

b. Explain why the formula in part (a) yields smaller (or at worst the same) sample sizes than the formula in Exercise 11.133.

c. When reasonably good educated guesses for the observed values of p^1and p^2can be made, explain why choosing the sample sizes by using the formula in part (a) is preferable to choosing them by using the formula in Exercise 11.133.

x1=18,n1=30,x2=10,n2=20;95%confidence interval

we have given a likely range for the observed value of a sample proportionp^

0.4to0.7

a. Based on the given range, identify the educated guess that should be used for the observed value of p^to calculate the required sample size for a prescribed confidence level and margin of error.

b. Identify the observed values of the sample proportion that will yield a larger margin of error than the one specified if the educated guess is used for the sample-size computation.

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