Populations 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?

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A sample is a subset of the population that is selected for analysis to make inferences about the population.

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What is a biased sample?

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

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What is a random sample?

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

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What is convenience sampling?

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Convenience sampling is a method where the sample is taken from a group that is easily accessible, which may lead to bias.

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What is systematic sampling?

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Systematic sampling involves selecting every nth individual from a list of the population.

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How do you determine if a sample is biased?

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A sample is biased if the method of selection favors certain outcomes or groups over others.

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What is the importance of sample size in statistics?

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Larger sample sizes generally lead to more accurate and reliable results, reducing the margin of error.

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What is a proportion in statistics?

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A proportion is a part of a whole, expressed as a fraction or percentage.

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How can proportions be used to estimate population characteristics?

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Proportions from a sample can be used to estimate the characteristics of the entire population by applying the same ratio.