Learning Goal
Part of: Use random sampling to draw inferences about a population — 2 of 2 cluster items
Use data from a random sample to draw inferences about a population
7.SP.A.2 — Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
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7.SP.A.2 — Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
What you'll learn
- Use data from a random sample to estimate an unknown characteristic of a population
- Express an estimate as a proportion or percent and interpret it in the context of the population
- Explain that different random samples from the same population will produce different estimates (sampling variability)
- Use multiple random samples to gauge the range of plausible estimates for a population characteristic
- Distinguish between estimates with high and low variability based on sample size and sampling method
- Evaluate the reliability of a population estimate based on the sampling process used
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