Unit 1 Flashcard 1 Practice flashcard

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What is systematic sampling?

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Systematic sampling is a method of selecting samples from a population at regular intervals. For example, selecting every 5th or 10th individual from a list.

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What is biased sampling?

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Biased sampling occurs when the sample is not representative of the population, leading to skewed results. For example, surveying only one math class to represent all students.

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What is unbiased sampling?

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Unbiased sampling occurs when the sample accurately represents the population, allowing for valid conclusions. For example, selecting every 20th student from a complete list.

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What is simple random sampling?

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Simple random sampling is a method where every individual has an equal chance of being selected. This can be done using random number generators or drawing names.

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What is convenience sampling?

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Convenience sampling involves selecting individuals who are easiest to reach, which may lead to biased results. For example, surveying friends or people in a specific location.

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What is voluntary response sampling?

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Voluntary response sampling occurs when individuals choose to participate in a survey, often leading to bias as only those with strong opinions may respond.

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What is the importance of sample size in surveys?

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A larger sample size generally leads to more reliable results, as it better represents the population and reduces the margin of error.

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How can you identify bias in a survey?

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Bias can be identified by examining the sampling method, the questions asked, and whether the sample represents the entire population.

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What is the difference between qualitative and quantitative data?

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Qualitative data describes characteristics or qualities (e.g., colors, opinions), while quantitative data involves numerical values (e.g., age, height).

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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 you want to study or draw conclusions about.