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Draw Inferences from Random Samples

Students use data from a random sample to draw inferences about a population, understanding that different random samples from the same population may produce different results. They generate multiple samples of the same size to gauge the variation in estimates.

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Draw Inferences from Random Samples

Grade 7 · Statistics and Probability · question 1 of 3

0 of 20

20 rungs. A star at the top.

12 : 20 = 60 :

How it is taught

0:00 of 4:38

A random sample estimates a population; it is not an exact copy.

Multiply the sample proportion by the population size.

Read it: A sample's ratio, scaled

In a sample, 2 of every 5 students asked chose pizza. The ratio stays the same as the sample grows: 4 of 10, 6 of 15, 8 of 20. So 2 : 5 = 8 : 20, both × 4.

  1. Write the sample's ratio: chose pizza to students asked.
  2. Find what one term was multiplied or divided by.
  3. Do the same to the other term: multiply or divide it by that number.

Every column is the same ratio, so each is the same part of the students asked.

8 of 20 is 2 of every 5, because 8 = 2 × 4 and 20 = 5 × 4.

A random sample's ratio is a fair estimate for the whole group's ratio.

Equal ratios multiply both terms by the same number.

Adding the same amount to both: 2 + 6 = 8, but 5 + 6 = 11, so 8 : 11.

Multiply both terms by 4: 2 : 5 = 8 : 20.

11 : 13 = 44 : ___ — 52. 44 is 11 × 4, so the other term is 13 × 4 = 52.

Estimating pizza preference from a sample of 30

A school has six hundred students. We want to know how many prefer pizza for lunch — but we can't ask all six hundred!

So we take a random sample — thirty students picked at random.

Eighteen of those thirty students say they prefer pizza.

That gives us a sample fraction: eighteen out of thirty.

Eighteen over thirty simplifies to sixty percent.

We infer the same proportion for the whole school: sixty percent of six hundred is three hundred sixty students.

Here's the catch — a different random sample can give a different estimate.

Sample two finds fifteen out of thirty. That's fifty percent — about three hundred students.

Sample three finds twenty-one out of thirty. That's seventy percent — about four hundred twenty.

Estimates vary from sample to sample, but they cluster near the true value. More samples give us a better picture!

600 studentsHow many prefer pizza?We can't survey all six hundred......so we'll use a random sample.Random sample of 30 students18 chose pizza · 12 did not1830= 60%60% × 600 = 360 studentsDifferent samples → different estimatesEstimated pizza-lovers (out of 600)0600100200300400500360Sample 1: 1830300Sample 2: 1530420Sample 3: 2130Estimates cluster near the true valueMore samples = better inferenceBEST ESTIMATE≈ 360of 600 students
Grade 7 · Using a random sample to estimate a whole population

What you see

While they climb, your page writes one true line to ask about tonight, and a short note each Sunday.

MayaGrade 3 · Mathematics
Did you know?

A chessboard has 64 squares — share them out between the 8 rows and each row holds exactly 8.

Today’s goal
1 star — one skill mastered, every rung of its ladder climbed
Climbing now
Divide within 100

An example student.

MayaGrade 3 · Mathematics

Maya earned 2 stars this week — Interpret multiplication as equal groups, which took 6 answers over 3 days before its star landed 3 days ago and Multiply by 6, 7, 8 and 9. Next up: Divide within 100.

An example week.

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