Warm Up 4/16

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## Warm Up 4/16

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**Lesson 13: Populations and Samples**Objective: • Students differentiate between a population and a sample. • Students investigate statistical questions that involve generalizing from a sample to a larger population.**Populations vs. Samples**• Population - A population is the entire set of objects (people, animals, plants, etc.) from which data might be collected. • Sample - A sample is a subset of the population.**Fact**There are many different ways to select a sample from a population. To make valid inferences about a population, you must choose a random sample very carefully so that it accurately represents the population.**Fact**• The results of an unbiased sample are proportional to the results of the population. So, you can use unbiased samples to make predictions about the population. • Biased samples are not representative of the population. So, you should not use them to make predictions about the population because the predictions may not be valid.