Data can be **qualitative **or **quantitative**, and quantitative data can be **discrete** or **continuous**.

A good way of organising data is to put it into a **frequency table**, by listing the data in a column, adding a second column for a tally and a third column for a “count” of the frequency of the data. Let’s see this in the following example:

**Exercise**

Let’s practice organising data into frequency tables by completing exercise 6C from page 83 of the textbook:

The answers are below:

**Grouped Frequency Tables**

With quantitative date, the table will often be too large, so instead of having each different category on a different row, we group the data into sensible groups. We can do this with discrete or continuous data and we normally aim to have around 5-10 groups (we choose the correct size of the **class intervals** to ensure this).

**Example**

**Exercise**

Let’s complete exercise 6D from page 83 of the textbook:

The answers are below: