Warm Up 4/16

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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.

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Presentation Transcript
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.