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## Describing Data: Identifying Biased Samples

Maria wants to take a survey to predict who will win the election for her town's mayor. Which samples are most likely to be biased? Choose three correct answers.

A. The people at the computer store at the mall.
B. Every 100th person from the town's phone registry.
C. The residents of every other house on her street.
D. The subscribers to a golf magazine.
E. Every 10th person who walks down the main street in her town.



Answer :

GinnyAnswer

Final answer:

Identifying biased samples in election prediction surveys.


Explanation:

Biased samples in the context of predicting the election for the town's mayor include:

  1. the subscribers to a golf magazine since this group may not be representative of the town's population
  2. every 10th person who walks down the main street which might not capture a diverse sample
  3. the residents of every other house on her street because this method might exclude certain demographics.

Learn more about Biased samples in election prediction here:

https://brainly.com/question/32029751


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