13) A medical researcher randomly selects 500 Japanese people and 500 Americans. She questions the 1000 people. She finds that the Americans work longer hours on average and also that the Americans have a higher rate of heart disease. She concludes that working longer hours is associated with a higher incidence of heart disease.
A) Selection bias B) The source C) Confounding variables D) Variables are hard to define/measure E) Participation bias
C) Confounding variables
This is an example of confounding variables affecting the results of an experiment. Working long hours may be correlated with a higher incidence of heart disease. However, they are a lot of other factors like hereditary issues, lifestyle, economic status, pollution levels, stress levels which are the confounding variables hidden in the study that affect the risk of heart disease.
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