Statistics Data Collection Flashcard

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What is randomization in data collection?

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Randomization ensures that every individual or item has an equal chance of being selected, reducing selection bias.

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Why is sample size important in statistics?

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A larger sample size increases the accuracy and reliability of the data collected.

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What are common data collection techniques in statistics?

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The various data collection techniques used in statistics include surveys, experiments, observational studies, and secondary data analysis.

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What is non-response bias?

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Non-response bias is the bias that results from individuals not responding to a survey or data collection process.

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What is the purpose of sampling methods in statistics?

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To select a subset of individuals or items from a larger population in order to make inferences about the whole population.

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Define selection bias.

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Selection bias occurs when the sample collected is not representative of the population intended to be analyzed.

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What is observational study in data collection?

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An observational study is a type of study where the researcher observes and records behavior without manipulating any variables.

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Explain the difference between primary and secondary data.

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Primary data is collected firsthand for a specific research purpose, while secondary data is previously collected data used for a different purpose.

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What is a survey in data collection?

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A survey is a method of data collection that involves asking individuals questions to gather information.

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What is the significance of data reliability?

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Data reliability refers to the consistency of a measure; reliable data produces the same results under consistent conditions.