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Good for the gut? Is fish good for the gut? Researchers tracked 22,000 male physicians for 22 years. Those who reported eating seafood of any kind at least 5 times per week had a 40% lower risk of colon cancer than those who said they ate seafood less than once a week. Explain how confounding makes it unreasonable to conclude that eating seafood causes a reduction in the risk of colon cancer, based on this study

Short Answer

Expert verified

Combining facts might lead to incorrect outcomes. therefore, confounding makes it unreasonable to conclude that eating seafood causes a reduction in the risk of colon cancer, based on this study.

Step by step solution

01

Given information

We need to explain how confounding, making it difficult to conclude that consuming seafood reduces the risk of colon cancer.

02

Simplify

It's worth noting that the researchers followed 22,000 male doctors for 22 years.
The study also discovered that people who ate fish of any kind at least five times each week had a 40%lower risk of developing cancer than those who ate seafood less than once per week.
As a result of the confounding, it is irrational to conclude that consuming seafood reduces the risk of colon cancer because the study was originally conducted to determine whether fish is beneficial for the gut or not, and then it moved to seafood and colon cancer.
As a result, combining facts might lead to incorrect outcomes.
Separate investigations should have been conducted to obtain precise results and draw appropriate conclusions.

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Most popular questions from this chapter

The Willowbrook and hepatitis Bstudies In the 1960s, children entering the Willowbrook State School, an institution for the intellectually disabled on Staten Island in New York, were deliberately infected with hepatitis. The researchers argued that almost all children in the institution quickly become infected anyway. The studies showed for the first time that two strains of hepatitis existed. This finding contributed to the development of effective vaccines. Despite these valuable results, the Willowbrook studies are now considered an example of unethical research. Explain why, according to current ethical standards, useful results are not enough to allow a study.

A local news agency conducted a survey about unemployment by randomly dialing phone

numbers during the work day until it gathered responses from 1000 adults in its state. In

the survey, 19% of those who responded said they were not currently employed. In reality,

only 6% of the adults in the state were not currently employed at the time of the survey.

Which of the following best explains the difference in the two percentages?

a. The difference is due to sampling variability. We shouldnโ€™t expect the results of a

random sample to match the truth about the population every time.

b. The difference is due to response bias. Adults who are employed are likely to lie and

say that they are unemployed.

c. The difference is due to undercoverage bias. The survey included only adults and did

not include teenagers who are eligible to work.

d. The difference is due to nonresponse bias. Adults who are employed are less likely to

be available for the sample than adults who are unemployed.

e. The difference is due to voluntary response. Adults are able to volunteer as a member

of the sample.

Frozen batteries Will storing batteries in a freezer make them last longer? To find out, a company that produces batteries takes a random sample of 100 AA batteries from its warehouse. The company statistician randomly assigns 50 batteries to be stored in the freezer and the other 50 to be stored at room temperature for 3 years. At the end of that time period, each batteryโ€™s charge is tested. Result: Batteries stored in the freezer had a significantly higher average charge. What conclusion can we draw from this study? Explain your reasoning.

Weight? Wait what? Marcos asked a random sample of 50mall shoppers for their weight. Twenty-five of the shoppers were asked directly and the other 25 were asked anonymously by means of a โ€œsecret ballot.โ€ The mean reported weight was13 pounds heavier for the anonymous group. Explain why the two means are so different.

Bias in a sampling method is

a. any difference between the sample result and the truth about the population.

b. the difference between the sample result and the truth about the population due to

using chance to select a sample.

c. any difference between the sample result and the truth about the population due to

practical difficulties such as contacting the subjects selected.

d. any difference between the sample result and the truth about the population that

tends to occur in the same direction whenever you use this sampling method.

e. racism or sexism on the part of those who take the sample.

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