Stats Ch 4 Sampling and Experiment Design

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What is Stratified Sampling?

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Stratified sampling is a method of sampling that involves dividing a population into subgroups (strata) and then taking a random sample from each stratum. This ensures that each subgroup is represented in the sample.

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Why is using the first 5 people who walk in the door not a good representative sample?

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This method is not a good representative sample because it may introduce bias, as the first 5 people may not reflect the diversity of the entire population.

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What is Simple Random Sampling?

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Simple random sampling is a sampling method where every individual in the population has an equal chance of being selected. This can be achieved by methods such as drawing names from a hat.

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What is a Confounding Variable?

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A confounding variable is an outside influence that changes the effect of a dependent and independent variable. It can lead to incorrect conclusions about the relationship between the variables being studied.

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Is the sample of customers who agreed to be interviewed likely to be biased?

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Yes, because the sample only includes customers who were willing to participate, which may not represent the views of all customers.

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What is Cluster Sampling?

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Cluster sampling is a sampling technique where the population is divided into clusters (groups), and entire clusters are randomly selected to be included in the sample.

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What is the difference between Explanatory and Response Variables?

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The explanatory variable is the variable that is manipulated or changed in an experiment, while the response variable is the outcome that is measured.

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What is Systematic Sampling?

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Systematic sampling is a method where you select every nth individual from a list or sequence after a random starting point.

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What is the purpose of a control group in an experiment?

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The control group serves as a baseline to compare the effects of the treatment or intervention being tested.

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What is a Sample?

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A sample is a subset of individuals selected from a larger population, used to make inferences about the population.