Samples and Populations

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What is a sample in statistics?

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A sample is a part of a group being surveyed, selected to represent the larger population.

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What is a population in statistics?

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A population is the entire group of individuals or instances about whom we hope to learn.

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What is the difference between a sample and a population?

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

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What is a random sample?

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A random sample is a subset of individuals chosen from a larger set, where each individual has an equal chance of being selected.

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Why is it important to have a random sample?

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A random sample helps to reduce bias and ensures that the sample represents the population accurately.

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What does it mean to survey a group?

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To survey a group means to collect data or opinions from individuals within that group.

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What is bias in sampling?

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Bias in sampling occurs when certain members of a population are more likely to be selected than others, leading to an unrepresentative sample.

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How can you minimize bias in a survey?

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You can minimize bias by using random sampling methods and ensuring that all segments of the population are represented.

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What is a convenience sample?

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

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What is stratified sampling?

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