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Grade 7 · Unit 5~44 min2 topics · 3 videos

Statistics & Inferences

Learn how statisticians use samples to draw conclusions about whole populations. You'll explore random sampling and how to avoid bias, then compare two populations using their centers and spread.

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Unit 5: Statistics & Inferences

Your progress

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On this page

  • Topics
  • Objectives & vocabulary
  • Extra practice

Unit menu

Unit 5: Statistics & Inferences

Your progress

0 of 2 done0%

On this page

  • Topics
  • Objectives & vocabulary
  • Extra practice
αAπΣ∞∂θ√x²≠∫÷≤%+½αβΔ
Work through these

Topics in this unit

Each topic is a short page: read the walkthrough, watch the video, try the practice, then take a quick quiz. Go in order or jump to what you need.

1
Random Sampling

Why a fair, random sample lets you make valid inferences.

  • 2 videos
  • Practice
  • 2-question quiz
  • ~22 min
2
Comparing Two Populations

Compare data sets using their centers and how spread out they are.

  • 1 video
  • Practice
  • 2-question quiz
  • ~22 min
αAπΣ∞∂θ√x²≠∫÷≤%+½αβΔ
Goals

Learning objectives

By the end of this unit, you should be able to:

  • ✓Understand why random samples are used to represent a population.
  • ✓Recognize sources of bias in a sample.
  • ✓Use measures of center and spread to compare two data sets.
  • ✓Draw informal comparative inferences about two populations.

Key vocabulary

Population
The entire group you want to learn about.
Sample
A smaller part of the population that is actually studied.
Random sample
A sample where every member has an equal chance of being chosen.
Bias
Anything that makes a sample unrepresentative of the population.
αAπΣ∞∂θ√x²≠∫÷≤%+½αβΔ
More practice

External resources

Hand-picked links from Khan Academy and trusted worksheet libraries.

Khan Academy

Statistics & probability practice

Open resource
Math Worksheets 4 Kids

Mean, median & mode worksheets

Open resource
αAπΣ∞∂θ√x²≠∫÷≤%+½αβΔ
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