Samples, populations, and Mean

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What is a sample in statistics?

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A sample is a subset of individuals or objects selected from a larger population used to represent that population.

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What is a population in statistics?

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

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What does it mean for a study to be biased?

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

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What does it mean for a study to be unbiased?

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A study is unbiased if the sample accurately represents the population, allowing for valid conclusions.

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How can you determine if a sample is representative of a population?

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A sample is representative if it includes a diverse range of individuals that reflect the characteristics of the entire population.

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What is the difference between a sample and a population?

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A sample is a portion of the population, while the population includes all individuals or objects being studied.

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What is a random sample?

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A random sample is a subset of a population chosen in such a way that every 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 eliminate bias and ensures that the results can be generalized to the entire population.

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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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How do you calculate the mean?

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To calculate the mean, sum all the values in a data set and divide by the total number of values.