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Ezra polled 527527 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. Ezra polled 527527 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. Analyze Sample Size: Step 11: Analyze the sample size and distribution.\newlineEzra polled 527527 people across each city in his county, with each city being the same size. This suggests a uniform distribution of the sample across different cities.
  2. Consider Representation: Step 22: Consider the representation of the sample.\newlineSince each city is represented equally in the sample, the chances of geographic bias within the county are minimized. This helps in accurately reflecting the views of residents from all cities in the county.
  3. Evaluate Bias Likelihood: Step 33: Evaluate the likelihood of bias.\newlineGiven the large sample size and equal representation of each city, the sample is less likely to be biased. It seems to be a fair representation of the county's city residents.

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