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Learning Goal

Part of: Use random sampling to draw inferences about a population — 1 of 2 cluster items

Understand that statistics can be used to gain information about a population by examining a sample

7.SP.A.1

7.SP.A.1 -- Understand that statistics can be used to gain information about a population by examining a sample of the population; understand that generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.

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7.SP.A.1 -- Understand that statistics can be used to gain information about a population by examining a sample of the population; understand that generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.

What you'll learn

  1. Distinguish between a population and a sample
  2. Explain why statisticians use samples rather than studying entire populations
  3. Define a representative sample and explain why representativeness matters for valid inference
  4. Explain why random sampling tends to produce representative samples
  5. Identify whether a described sampling method is likely to produce a biased or representative sample
  6. Evaluate the validity of statistical claims based on how the sample was collected

Slides

Interactive presentations perfect for visual learners • Interactive presentation

Slide Video

Watch narrated slides play like a video lesson • Narrated slide playback

Exercises

Practice problems to build fluency and understanding • 1 exercises