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Alana researched 55 downtown districts throughout each county in her state. Each county has an equal number of downtown districts.\newlineIs this sample of the downtown districts in the state likely to be biased?\newlineChoices:\newline(A)yes\newline(B)no

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Q. Alana researched 55 downtown districts throughout each county in her state. Each county has an equal number of downtown districts.\newlineIs this sample of the downtown districts in the state likely to be biased?\newlineChoices:\newline(A)yes\newline(B)no
  1. Understand sample size: Step 11: Understand the sample size and distribution.\newlineAlana researched 55 downtown districts in each county. Assuming there are multiple counties, each with an equal number of districts, she has sampled uniformly across the counties.
  2. Consider representation: Step 22: Consider the representation of the sample. Since each county is represented equally and every county has the same number of downtown districts, the sample should theoretically represent the state's downtown districts fairly.
  3. Evaluate biases: Step 33: Evaluate potential biases.\newlineIf all counties are similar and there's no over- or under-representation of any particular type of district, the sample is less likely to be biased. However, this assumes that all districts within a county are homogeneous, which might not be true.

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