---
title: "Census, sample, experiment or observation"
subtitle: "Data and chance · Samples · Lesson 15"
---

# Census, sample, experiment or observation

**Name:** {{field-24}} **Date:** {{field-15}} **Class:** {{field-15}}

> **Key question:** Every five years Australia asks every household the census questions. A TV ratings company measures viewing in only a few thousand homes. Why doesn't it just measure everyone?


:::teacher-note

**In one sentence:** Students compare a census and samples on a simulated school, and choose between census, sample, experiment and observation for real questions (AC9M8ST01, node 1).

**Students should be able to say:** I can say the difference between a census and a sample. I can tell an experiment from an observation. I can choose a way to collect data and explain why it is practical.

**Width:** the unmarked parts are the floor every student does (predict, run, investigate and make). Typical adds the modify practice; wider adds the real-world contexts. They add contexts, not difficulty. Students work in the online tutorial alongside this sheet.

:::


## Predict


:::keep-together

**A school has 200 students. You ask 20 of them, chosen at random, how long they sleep. Will their mean equal the mean of all 200?**

☐ Exactly the same

☐ Nowhere near

☐ Close, but probably not exactly

My prediction, and why:

{{lines-3}}

:::


:::teacher-note

**What happens:** Close, but probably not exactly. A random sample gives an estimate; a census gives the exact value, at much more cost.

:::


## Run

Try it on the board in the tutorial. Was your prediction right? What was different?

{{lines-2}}

## Choosing a technique


:::keep-together

### Why a sample

Here is the routine for choosing.

1. $\text{Question: how much do Year 8s spend on lunch?}$ — Name the population: Year 8 students.
2. $\text{Census? } 180 \text{ students: possible, but slow}$ — Can you measure everyone? At what cost?
3. $\text{Sample of } 40 \text{ chosen at random}$ — Quicker, cheaper, and close if chosen fairly.
4. $\text{Not an experiment: nothing is changed}$ — Measuring as things are: a survey of a sample.

**A newspaper wants to know what people in its city think of a new bridge. Why does it survey a sample of 800, not everyone?**

☐ Opinions can't be measured

☐ A sample is more accurate than a census

☐ Asking every person in the city would take too long and cost too much

☐ The law says so

:::


:::teacher-note

**Answer:** Asking every person in the city would take too long and cost too much

When measuring everyone costs too much or takes too long, a fair sample is the sensible choice.

:::


:::keep-together

### Find the mistake

**Noah plans how to collect data. Click the line where his plan goes wrong.**

```
 1  Noah wants to know how long the batteries from a factory last.
 2  A census gives the exact answer, so he decides to test every battery until it runs flat.
 3  Then he will know exactly how long the factory's batteries last.
```

Line: {{field-15}}

Why is it wrong?

{{lines-2}}

:::


:::teacher-note

**Answer:** line 2

Line 2: testing every battery until it is flat leaves the factory nothing to sell. Test a sample instead.

:::


:::keep-together

### Experiment

**Some students revise with music and some without, chosen at random, then all sit the same test. What technique is this?**

☐ An observation

☐ A census

☐ Not a way to collect data

☐ An experiment: the researcher changes something on purpose

:::


:::teacher-note

**Answer:** An experiment: the researcher changes something on purpose

The music is the thing changed on purpose; the scores show its effect.

:::


:::typical

## Matching the technique


**Match the technique.** 

**Bigger samples.** 

**The census.** 

**Counting cars.** 

Work in the tutorial. Plan first: what will you change, and how will you test it?

{{box-4}}

:::


## Techniques


:::keep-together

### Small class

**A teacher wants the mean height of her class of 25. What is most sensible?**

☐ A sample of 5

☐ A census: measuring 25 students is quick

☐ An experiment

☐ An observation from across the room

:::


:::teacher-note

**Answer:** A census: measuring 25 students is quick

When the population is small and measuring is easy, a census gives the exact answer.

:::


:::keep-together

### Toothpaste

**A company wants to know if a new toothpaste reduces cavities. What technique fits?**

☐ Asking the company's staff

☐ An experiment: some use the new toothpaste, some the old, chosen at random

☐ An observation of shop shelves

☐ A census of everyone who brushes their teeth

:::


:::teacher-note

**Answer:** An experiment: some use the new toothpaste, some the old, chosen at random

To see the effect of a change, compare groups given different treatments.

:::


:::keep-together

### Testing every bottle

**A juice factory checks the sugar in its bottles. A manager says: 'Test every bottle, so we know for sure.' What is wrong with that plan?**

☐ Testing opens the bottle, so there would be nothing left to sell

☐ Nothing: a census is always best

☐ The bottles are too small

☐ Sugar can't be measured

:::


:::teacher-note

**Answer:** Testing opens the bottle, so there would be nothing left to sell

When measuring destroys the item, a sample is the only sensible choice.

:::


:::keep-together

### Review: complement

**Review: a spinner has equal parts red, blue, green and yellow. What is P(not red)?**

Answer: {{field-15}}

:::


:::teacher-note

**Answer:** 3/4

1 − 1/4 = 3/4.

:::


## Make: plan the collection

Choose a question about your school or town, such as "How long do students spend on homework?" or "Does a reminder sign reduce littering?" Write the population, the technique you would use, and one reason it suits the question better than the others.

Work in the tutorial. Plan first: what will you change, and how will you test it?

{{box-4}}

## Exit ticket

:::keep-together

**A cereal company wants to check the weight of its boxes. Census or sample? Why?**

{{lines-3}}

:::


:::teacher-note

**Answer:** A sample: weighing every box costs time; checking a random sample of boxes each hour is enough to spot problems.

:::

