In order to have a high confidence level in a customer survey, what should the sample size accurately reflect?

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Multiple Choice

In order to have a high confidence level in a customer survey, what should the sample size accurately reflect?

Confidence in survey results comes from how well the sample mirrors the entire population. To have a high confidence level, the sample should reflect the population as a whole so the estimate you compute (like a proportion or average) accurately represents the true population parameter. When the sample captures the population’s diversity—varying demographics, regions, preferences—the findings generalize better and are less biased. A random sample of a fixed size can be good, but it doesn’t guarantee that every segment of the population is represented; a subset or a convenience sample may miss important groups and introduce bias, reducing confidence in applying the results to the whole population.

Confidence in survey results comes from how well the sample mirrors the entire population. To have a high confidence level, the sample should reflect the population as a whole so the estimate you compute (like a proportion or average) accurately represents the true population parameter. When the sample captures the population’s diversity—varying demographics, regions, preferences—the findings generalize better and are less biased.

A random sample of a fixed size can be good, but it doesn’t guarantee that every segment of the population is represented; a subset or a convenience sample may miss important groups and introduce bias, reducing confidence in applying the results to the whole population.

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