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In June 2015, Gallup conducted a poll of a random sample of 14,683 adults to determine the well-being of people living in the United States. One question asked, “Did you exercise at least 30 minutes for 3 or more days in the past week?” In the survey, 58.9% of males and 52.7% of females responded yes to this question. Which of the following is true about this scenario? 58.9% and 52.7% are both parameters. 58.9% and 52.7% are both statistics. If we took another random sample of 14,683 adults, we would expect to get the exact same results.

Question

In June 2015, Gallup conducted a poll of a random sample of 14,683 adults to determine the well-being of people living in the United States. One question asked, “Did you exercise at least 30 minutes for 3 or more days in the past week?” In the survey, 58.9% of males and 52.7% of females responded yes to this question. Which of the following is true about this scenario? 58.9% and 52.7% are both parameters. 58.9% and 52.7% are both statistics. If we took another random sample of 14,683 adults, we would expect to get the exact same results.

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Solution

The correct answer is: 58.9% and 52.7% are both statistics.

Here's why:

  1. Parameters vs Statistics: A parameter is a value that describes a characteristic of an entire population, while a statistic is a value that describes a characteristic of a sample from the population. In this case, the data collected (58.9% of males and 52.7% of females) are from a sample of the population (14,683 adults out of the entire adult population of the United States), not the entire population. Therefore, these values are statistics, not parameters.

  2. Replicating the results: In statistics, it's highly unlikely to get the exact same results when taking another random sample, even if the sample size is the same. This is due to the inherent variability in random sampling. So, the statement "If we took another random sample of 14,683 adults, we would expect to get the exact same results" is not correct.

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