Which of the following is true about a sample?

A sample can represent a population when it is selected appropriately, reflecting the key characteristics of that population. In statistics, a sample is a subset of individuals or items drawn from a larger group, known as the population. When the sample is carefully chosen, using methods like random sampling or stratified sampling, it can provide insights and allow researchers to make inferences about the entire population without having to survey every single member.

The effectiveness of a sample in representing the population depends on the sample design and size; a well-designed sample can yield results that are statistically significant and applicable to the broader population. This concept is fundamental in data-driven decision-making, where sampling is often used to understand trends, test hypotheses, or assess the impact of changes within a larger context. A good representation through a sample can lead to valid conclusions, provided the sampling process minimizes bias and ensures diversity reflecting the population's characteristics.