Year 11 Standard · Unit 4 · Lesson 4 · teacher page

Teaching: bias in surveys

Students now know how to take a sample by chance. This lesson turns to what a design can still get wrong: who is asked, who replies and how the question is put. The important distinction is bias against wobble.

Statistics and ProbabilityScientific calculator

At a glance. One lesson of about 60 minutes. It assumes the sampling methods of Lessons 2 and 3 and the idea of bias from Year 9. Students name sources of bias, work out a response rate and the range that non-responders allow, weight a biased estimate, and use the wobble rule to size a sample.

Calculator: scientific calculator. The rule of thumb for sample size needs a square root, so a scientific calculator is useful for the root. Perfect squares are used so the root can be found by hand. The rule 100 ÷ √n is the usual 95% margin for a percentage near 50%.

What students will learn

Know

  • Sampling bias, self-selection, non-response bias and wording bias.
  • Response rate is replies divided by people asked.
  • The rough margin of error is about 100 divided by the square root of n points.

Understand

  • A larger sample shrinks wobble and not bias.
  • Non-response can move a figure a long way when the response rate is low.
  • Who is asked matters more than how many.

Do

  • Say which kind of bias a design has and why.
  • Find the range the non-responders allow.
  • Weight a figure by the shares of a population.

MYP assessment criteria

Wording paraphrased. What this lesson gives you evidence for, and what to look for:

The one thing to do with the figure

Name the lean before reading the number. In the first figure, ask which group goes quiet as the slider moves left, and which way the estimate should move. Take a prediction, then slide.

In the second figure, cover the fair band and ask whether collecting ten times as many responses fixes the phone-in. Uncover it and ask what the fair method changed.

A possible order

5 minWarm-up from the student page, in silence, then answers.
7 minHook: the phone-in. Collect predictions about ten times as many callers.
10 minFirst figure and key idea: kinds of bias and the response rate.
10 minSecond figure, the warning card and the worked examples; pairs finish the faded example.
5 minThe check. If many choose B, ask what a website poll with a million clicks would still lack.
18 minYour turn, Levels 1 to 3, at each student's own pace.
5 minSomething to think about, then the exit ticket, question 8.

The answers

Warm-up12; 9; 30%.
HookNo: callers choose themselves, so ten times as many callers is ten times as many self-selected people. The result would have to come from a sample chosen so that everyone, or a fair share of every group, could be asked.
Worked examplesThe gym sample leans towards evening users; the 500 forms allow 18% to 88%.
Faded example√625 = 25 and 100 ÷ 25 = 4 points.
1. Naming a biasA. B blames size; C names the wrong method; D says readers are outside the population.
2. A fair questionC. A, B and D each use words that lead.
3. Response rate40. 180 ÷ 450.
4. What non-responders could change75. (150 + 150) ÷ 400.
5. Estimating when a group is missed51. 0.7 × 60 + 0.3 × 30.
6. Choosing a better designB. A only enlarges the same biased sample; C asks the wrong people; D changes the look, not the method.
7. Sample size from a wobble2500. n = (100 ÷ 2) squared.
8. Naming the bias in a new caseD. A names wording; B names non-response; C names the wrong method.

What each wrong answer tells you

They giveWhat it usually meansWhat to do
B, C or D in question 1Blames size, names the wrong method, or says the audience is outside the population.Ask: who is likely to click on a website poll, and who is not?
A, B or D in question 2Picks wording that leads while sounding polite.Ask: which word tells you which answer the writer wants?
60, 2.5 or 270 in question 3Gives the non-response rate, inverts the fraction, or gives a count.Write replies over asked and say which is on top.
60, 37.5 or 62.5 in question 4Gives the share of replies, the lowest case, or the response rate.Ask: how many people are silent, and what is the most they could add?
60, 45 or 90 in question 5Gives only the landline figure, takes the plain average, or adds the percentages.Use a bar split 70 : 30 and ask which part is bigger.
A, C or D in question 6Chooses more of the same, asks the wrong group, or changes only the look.Ask: does this change who is in the sample?
50, 200 or 4 in question 7Stops before squaring, multiplies, or squares the wobble.Say the rule as a sentence: 100 divided by the root of n.
A, B or C in question 8Blames wording, non-response, or says it is stratified.Ask: who in the school could not have been given the form?

Questions worth asking

Differentiation

A way in for anyone stuck

Stretch

Students learning in English as an additional language

“Bias” here means a lean in one direction. “Self-selection” means people choose themselves. “Response rate” is the share who answered. “Loaded” means a word that carries a hidden opinion.

WordPlain meaningExample
biasa lean that pushes results one way every timea clock that always runs five minutes fast
self-selectiontaking part by your own choice, so the sample is made of volunteerspeople who choose to post a review of a restaurant
non-responsemembers chosen for a sample who do not replyquestionnaires never returned
response ratethe share of people asked who actually replyreplies divided by forms sent
leading questiona question worded to push towards one answera question that hints at the answer wanted
random wobblethe chance difference between a sample result and the truth, which shrinks as n growsthe gap between two fair samples

Sentence starters for explaining aloud or in writing:

Two things not to say

“A big sample means the survey is right.” A big biased sample is wrong with more confidence.

“Biased means somebody cheated.” A design can lean without anyone intending it.

Questions to set

Extra practice in three tiers, including one question from earlier work for spacing. Every answer has been checked.

1Fluency

The idea on its own, with friendly numbers. Set these first.

  1. Response rate300 forms sent, 90 returned. Response rate?
    90 ÷ 300 = 30%.
  2. Wobblen = 256. Wobble in points?
    100 ÷ 16 = 6.25.

2In context

The same idea inside a situation, where the first job is deciding what to calculate.

  1. ContextA survey asks 200 people and 120 reply; 72 of those say yes. What is the lowest percentage of all 200 who could say yes?
    72 ÷ 200 = 36%.
  2. Earlier work (Lesson 3)A stratified sample of 60 is taken from groups of 120, 180 and 300. How many from the 180 group?
    180 ÷ 600 × 60 = 18.

3Challenge

Reasoning, generalizing and working backwards.

  1. ReasoningA survey has a wobble of 4 points and a bias of 15 points. A second has a wobble of 10 points and no bias. Which is closer to the truth, usually?
    The second, usually: its error is within about 10 points, while the first is about 15 points off, give or take 4.
  2. Working backwardsA sample size gives a wobble of 5 points. What size gives a wobble of 1 point?
    A wobble of 5 means the root of n is 20 (n = 400). A wobble of 1 needs a root of 100, so n = 10000.

Practicalities

Works on a phone or a shared screen. Nothing a student types is saved or sent anywhere.

Both figures work with the keyboard (tab to a slider, then the arrow keys) and by touch. Under each one, “Show me the steps” gives the same states in words.

No device? Have pairs write three versions of one survey question, one fair and two leading, and swap them.