Population & Samples game

A sample is a selection of individuals or items taken from a larger population to represent that population.

A population is the entire group of individuals or items that is the subject of a statistical study.

A sample is a subset of a population, while a population includes all members of a specified group.

A random sample is a subset of a population in which each member has an equal chance of being selected.

Sampling is important because it allows researchers to gather data and make inferences about a population without surveying every individual.

A biased sample is one that does not accurately represent the population, leading to skewed results.

A convenience sample is a type of non-random sampling where participants are selected based on their easy availability.

Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each strata.

A survey is a method of collecting data by asking questions to a group of people.

The purpose of a survey is to gather information and insights about opinions, behaviors, or characteristics of a population.