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# Warm Up 4/16 PowerPoint PPT Presentation

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.

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.