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Warm Up 4/16. 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.

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Warm Up 4/16

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Warm up 4 16

Warm Up 4/16


Lesson 13 populations and samples

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

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.


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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.


Types of samples

Types of Samples


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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.


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