Population and Samples

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What is a population in statistics?

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A population is the entire group of individuals or items that we want to study or draw conclusions about.

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What is a sample in statistics?

Back

A sample is a subset of individuals or items selected from a population, used to make inferences about the population.

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What does it mean for a sample to be representative?

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A representative sample accurately reflects the characteristics of the population from which it is drawn.

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What is a random sample?

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A random sample is a sample that is selected from a population in such a way that every individual has an equal chance of being chosen.

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Why is it important to have a random sample?

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A random sample helps to eliminate bias and ensures that the sample is representative of the population.

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What is sampling bias?

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Sampling bias occurs when certain members of a population are systematically more likely to be selected for the sample than others.

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What is the difference between a population and a sample?

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A population includes all members of a specified group, while a sample includes only a portion of that group.

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What is convenience sampling?

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Convenience sampling is a non-random sampling technique where individuals are selected based on their easy availability.

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What is the mean in statistics?

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The mean is the average of a set of numbers, calculated by adding all the values together and dividing by the number of values.

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What is a survey?

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