Margin of error — Algebra II, what it means and where it is taught

How far the sample result might sit from the truth.

Taught in Algebra II.

Where it is taught

What uses it later

This idea is needed for:

Practise this idea

8 questions in the course bank use Margin of error, in Sampling, Simulation & Inference.

Problem 1

A poll is taken only outside a gym. What is the problem?

  1. The sample is biased
  2. The sample is too large
  3. The margin of error is too small
  4. Nothing
Worked answer

The sample is biased

Gym-goers are not typical of everyone

The tilt is systematic, not random

Problem 2

A poll reports 48% with a margin of error of 4%. Give the lower end of the interval.

Worked answer

44

48-4=44

Problem 3

Why is a random sample preferred?

  1. It has no systematic tilt
  2. It is always larger
  3. It is cheaper
  4. It avoids the need for a margin of error
Worked answer

It has no systematic tilt

Random selection gives every member an equal chance

So errors are noise, not bias

Problem 4

Estimate the margin of error for a random sample of 400, as a percent.

Worked answer

5

1√400=120=0.05

Problem 5

Estimate the margin of error for a sample of 2500, as a percent.

Worked answer

2

150=0.02

Problem 6

About what sample size gives a margin of error of 5%?

Worked answer

400

√n = 20

n=400

Problem 7

To halve a margin of error, by what factor must the sample size grow?

Worked answer

4

Halving 1√n needs √n to double

So n must quadruple

Problem 8

A 1936 poll asked two million people and still called the election wrong. Why?

  1. The sample was biased
  2. The sample was too small
  3. The margin of error was miscalculated
  4. The votes were miscounted
Worked answer

The sample was biased

It surveyed car and telephone owners, who were wealthier than average

Size cannot rescue a biased sample

Elsewhere

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