Sampling Basics Part 1 Quiz

In statistics, a population refers to the complete set of individuals, items, or data points that are of interest in a particular study. It includes every member that fits the defined criteria.

A sample is a smaller group selected from the population. It is used to draw conclusions about the population without studying every individual.

Studying an entire population can be time-consuming, expensive, or impossible. Samples allow researchers to make reasonable estimates efficiently.

A census involves collecting data from every member of the population, such as a national population census conducted by governments.

A parameter is a numerical value that describes a characteristic of a population, such as population mean or population proportion.

All voters in a country represent a complete group of interest, making it a population rather than a sample.

Selected customers represent only a part of the entire customer base, making them a sample.

A biased sample does not properly represent the population, leading to incorrect or misleading conclusions.

Accuracy depends heavily on how well the sample reflects the population rather than just its size.

A sample is always a subset taken from the larger population.