Over a one-month period, a researcher recruited 200 men and women over the age of 60 from the lobby at Lifestyle Fitness, and asked them to complete a survey about their attitudes toward physical fitness. She found that the majority of participants believed that senior citizens should attend the gym at least 3 times a week. She concluded that senior citizens have a very positive attitude toward fitness and health. Which of the following is true?

A. Because she surveyed so many people, her findings can be generalized to seniors in the general population. B. Her sample is a biased one, because her sample was not a random one. C. Both a. and b. are true. D. Neither a. nor b. is true.

Question

Social Studies

Kathy Mccarty

25 January, 18:51

Over a one-month period, a researcher recruited 200 men and women over the age of 60 from the lobby at Lifestyle Fitness, and asked them to complete a survey about their attitudes toward physical fitness. She found that the majority of participants believed that senior citizens should attend the gym at least 3 times a week. She concluded that senior citizens have a very positive attitude toward fitness and health. Which of the following is true?

A. Because she surveyed so many people, her findings can be generalized to seniors in the general population. B. Her sample is a biased one, because her sample was not a random one. C. Both a. and b. are true. D. Neither a. nor b. is true.

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Answers (1)

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Pablo Jefferson · Answer 1

B. Her sample is a biased one, because her sample was not a random one.

Explanation:

Biased sample: In psychology, the term biased sample refers to the procedure in which a particular group is selected for a statistical survey or study lack random assignment and is not able to represent a population. It occurs because a particular sample being taken for the study isn't representative of a large population.

For any research or study to give valid and unbiased information or result then it should contain random assignment while selecting the sample from a large population.