Samples and Bias

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What is a sample in statistics?

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A sample is a subset of a population used to represent the entire group in statistical analysis.

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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 inaccurate representation.

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What does it mean for a survey to be biased?

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A survey is biased if the questions or the method of selection lead to results that do not accurately reflect the views of the entire population.

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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 member has an equal chance of being chosen.

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Why is it important to have a representative sample?

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A representative sample ensures that the results of a survey or study can be generalized to the larger population.

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What is a convenience sample?

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

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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 values that can be measured.

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What is sampling error?

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Sampling error is the difference between the results obtained from a sample and the actual values in the population.

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How can bias affect survey results?

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Bias can lead to skewed results that do not accurately reflect the opinions or behaviors of the entire population.

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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's answer.