Every year of high school, Australian students learn about "mean", "median", and "mode".

Yet many people still get them mixed up. Perhaps some cats might help.

## How much does a cat weigh?

This question is not so simple to answer because cats don't all weigh the same.

Suppose you also have seven cats and a bunch of scales to weigh them with.

How might we summarise our data into a single number that answers the question?

## Mode

One option is just to choose the most common, or – we might say – the most *fashionable* weight.

The French word for fashion is *mode*. Here, fashionable cats wear pink berets and the mode is 4kg.

We might answer: "based on our data, cats typically weigh 4kg."

That's the mode.

## Median

Another option is to give the middle number – the median.

It's very important that we first arrange our cats in order. They might not like it!

Now we choose the weight in the middle: 4kg. This is called the *median*.
It splits our cats in two:

50% of the cats weigh less than or the same as the median.

50% of the cats weigh more than or the same as the median.

We might answer: "based on our data, cats weigh around 4kg."

That's the median.

## Mean

Finally, we might be *mean!* We might pile all the cats onto one set of scales to find their total weight.

Then we can divide their total weight by the number of cats to get the mean:

```
(5kg + 9kg + 6kg + 4kg + 4kg + 3kg + 4kg) ÷ 7 = 5kg
```

We might answer: "based on our data, cats weigh 5kg on average."

That's the mean.

So, there we have it. Three ways to summarise our data into a single number.

The *mode*: our most fashionable number:

the *median*: a middling cat that divides our data into two:

and the *mean*: where we cruelly weigh all our cats together and divide the total by the number of cats:

These are called summary statistics. Which is your favourite?