Population, Sample, and Bias

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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 the purpose of conducting a study.

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What is bias in statistics?

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Bias refers to a systematic error that leads to an incorrect estimate of the population parameter.

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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 from which it is drawn.

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What is an unbiased sample?

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An unbiased sample is one that accurately reflects the characteristics of the population.

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Why is it important to have a random sample?

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A random sample helps ensure that every member of the population has an equal chance of being selected, reducing bias.

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What is a leading question?

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A leading question is one that suggests a particular answer or contains information that biases the respondent.

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How can survey questions be biased?

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Survey questions can be biased if they are worded in a way that influences the respondent's answer.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities, while quantitative data involves numerical measurements.

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What is sampling error?

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Sampling error is the difference between the sample statistic and the actual population parameter due to the sample being taken.