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Turner polled 4242 people throughout each city in his county. Each city is the same size.\newlineIs this sample of the residents of cities in the county likely to be biased?\newlineChoices:\newline(A)yes\newline(B)no

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Q. Turner polled 4242 people throughout each city in his county. Each city is the same size.\newlineIs this sample of the residents of cities in the county likely to be biased?\newlineChoices:\newline(A)yes\newline(B)no
  1. Understand sampling method: Understand the sampling method. Turner polled 4242 people throughout each city in his county, and each city is the same size.
  2. Assess bias likelihood: Assess the likelihood of bias in the sampling method.\newlineSince Turner polled an equal number of people from each city, and assuming that the cities are demographically similar because they are the same size, the sample is less likely to be biased. It suggests that Turner made an effort to get a representative sample from each city.
  3. Consider other factors: Consider other factors that could introduce bias. Although the number of people polled from each city is the same, there could still be bias if the selection within each city was not random (e.g., only polling people from a certain area of each city or at a certain time of day). However, based on the information given, we cannot assume such biases.
  4. Make conclusion: Make a conclusion based on the information provided.\newlineGiven that the same number of people were polled from each city and all cities are the same size, the sample is likely to be unbiased unless there is additional information suggesting otherwise.

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