Question

Which of the following statements accurately describe sample size, population, and confidence level? Select all that apply.



To be effective, most industries aim for a confidence level of at least 50-60%.



Confidence level deals with how strongly a data professional feels that they can rely on their sample reflecting the greater population.



Random sampling is a method that data professionals use to help address some of the issues with sampling bias.



Sample size is a part of a population that is representative of the population.

Answer 1

Correct answer: only the third statement.

Explanations:
- "To be effective, most industries aim for a confidence level of at least 50–60%." — False. Typical choices are 90%, 95%, or 99%; 50–60% is too low for reliable inference.
- "Confidence level deals with how strongly a data professional feels that they can rely on their sample reflecting the greater population." — Misleading/false. Confidence level is a formal probability (e.g., 95%) that a confidence interval procedure will contain the true population parameter in repeated sampling — it’s not a subjective feeling.
- "Random sampling is a method that data professionals use to help address some of the issues with sampling bias." — True. Random sampling reduces systematic bias and helps produce a representative sample.
- "Sample size is a part of a population that is representative of the population." — False. A sample (not sample size) is the subset of the population; sample size is the number of observations in that subset.