Functional Skills Maths · England

Charts, graphs and probability

Read and draw tables, bar charts, pie charts and line graphs, describe likelihood on a 0–1 scale, and — at Level 2 — work with combined probability, two-way tables and scatter diagrams.

Audience
Adults & apprentices
Levels
Level 1 · Level 2 (combined probability, scatter)
Worked examples
4
Format
Print (A4/Letter) + answers

Learn

Tables and bar charts

Before reading any table or chart, check the title, the labels and the units, and look at the scale on the axis — each square might be worth 1, 2, 5 or 10. Many lost marks come from assuming each line is worth 1. When you draw a bar chart, give it a title, label both axes, use an even scale starting at zero, and make the bars the same width with equal gaps.

Pie charts and line graphs

A pie chart shows how a whole is split into parts. The full circle is 360°, so each item's angle is its fraction of the total × 360. If 15 out of 60 people walk to work, 15 ÷ 60 = 1/4, and 1/4 of 360° is 90°. Working backwards, an angle of 72° out of 360° is 1/5 of the total. Pie charts show proportions, not actual numbers, so two pie charts can only be compared in numbers if you know both totals.

Line graphs show how something changes over time, such as temperature through a day or monthly sales. Read values by going up from the horizontal axis to the line and across to the vertical axis. The steeper the line, the faster the change.

Probability

Probability measures how likely something is, on a scale from 0 (impossible) to 1 (certain), with 0.5 meaning an even chance. It can be written as a fraction, a decimal or a percentage. When all outcomes are equally likely, probability = number of favourable outcomes ÷ total number of outcomes. A bag holding 3 red, 5 blue and 2 green counters gives P(blue) = 5/10 = 0.5.

The probabilities of all possible outcomes add up to 1, so P(not happening) = 1 − P(happening). If the chance of rain is 0.35, the chance of no rain is 0.65. Expected frequency is probability × number of trials: if 15% of trains run late, you would expect about 9 of 60 trains to be late.

Combined events, two-way tables and scatter diagrams (Level 2)

For two independent events — where one does not affect the other — multiply the probabilities to find the chance of both happening. The chance of a 4 on a four-sided spinner and heads on a coin is 1/4 × 1/2 = 1/8. Listing every outcome in a sample space table is a good check.

A two-way table splits data by two features at once, such as full-time or part-time and whether staff drive. Fill in missing cells using the row and column totals, then read probabilities directly from it.

A scatter diagram plots pairs of values to see whether they are related. If points rise from left to right there is positive correlation; if they fall, negative correlation; no clear pattern means no correlation. A line of best fit lets you estimate values. Correlation does not prove that one thing causes the other.

Worked example 1

Level 1: In a survey of 60 staff, 15 walk to work. What angle should walking have on a pie chart?

  1. Fraction: 15 ÷ 60 = 1/4.
  2. Angle: 1/4 × 360° = 90°.

Answer: 90°

Worked example 2

Level 1: A bag has 3 red, 5 blue and 2 green counters. What is the probability of picking blue?

  1. Total counters: 3 + 5 + 2 = 10.
  2. Blue: 5.
  3. P(blue) = 5/10 = 0.5.

Answer: 5/10 = 0.5 (an even chance)

Worked example 3

Level 2: A fair spinner numbered 1–4 is spun and a coin is tossed. What is the probability of a 4 and heads?

  1. P(4) = 1/4; P(heads) = 1/2.
  2. Independent, so multiply: 1/4 × 1/2 = 1/8.
  3. As a decimal: 0.125.

Answer: 1/8 = 0.125

Worked example 4

Level 2: A firm has 80 full-time staff (50 drive to work) and 40 part-time staff (10 drive). What is the probability a randomly chosen employee drives?

  1. Total staff: 80 + 40 = 120.
  2. Total drivers: 50 + 10 = 60.
  3. P(drives) = 60/120 = 0.5.

Answer: 0.5

Watch out

Common mistakes

  • Assuming each square on a chart's axis is worth 1 without checking the scale.
  • Giving a probability greater than 1 or writing it as a ratio such as “3:10”.
  • Adding probabilities for two events that must both happen; multiply instead.
  • Saying a scatter diagram proves that one thing causes another.

Real life

Where you'll use this at work or home

  • Reading sales, attendance or performance charts in workplace reports.
  • Understanding weather forecasts and risk information.
  • Presenting survey results clearly at work or in a community group.
  • Spotting trends, such as whether higher temperatures link to higher ice-cream sales.

Try it

Practice sheet

Functional Skills Maths · Level 1

Charts, graphs and probability

NameDate

Show your working. Give money to the nearest penny and include units in every answer.

  1. 1.40 customers were asked their favourite drink; 10 chose tea. What angle is tea on a pie chart?
  2. 2.Of 72 learners, 24 travel by bus. What angle is bus on a pie chart?
  3. 3.What is the probability of rolling a 6 on a fair dice, to 2 decimal places?
  4. 4.A bag has 4 red and 6 white balls. What is the probability of red?
  5. 5.A bar chart shows 12 deliveries on Monday, 18 on Tuesday and 15 on Wednesday. How many altogether?
  6. 6.A table shows monthly sales of £340 in the best month and £215 in the worst. What is the difference?
  7. 7.A raffle sells 200 tickets. You buy 5. What is the probability you win first prize?
  8. 8.A line graph shows 8 °C at 6 am and 17 °C at 2 pm. How much did the temperature rise?
  9. 9.The probability of rain tomorrow is 0.35. What is the probability it won't rain?
  10. 10.A pie chart of 50 people shows 72° for cycling. How many people cycle?
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Questions

Frequently asked questions

Divide the item's frequency by the total, then multiply by 360°.

Yes. 0.25, 1/4 and 25% all describe the same probability. Use the form the question asks for.

One event doesn't change the chance of the other, such as tossing a coin and rolling a dice.

Scatter diagrams, correlation and combined probability are typically Level 2. Level 1 focuses on reading charts and simple probability.

Last reviewed: 9 October 2026

Editor: Paul Smeaton CMgr FCMI