Functional Skills Level 2 — Probability

The Probability Scale

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The Probability Scale: 0 to 1

Probability measures how likely an event is to happen. It is always a number from 0 (impossible) to 1 (certain). Events in between are described as unlikely, even chance, or likely.

The Probability Scale 0 0.5 1 Impossible Unlikely Even chance Likely Certain Probability is always between 0 and 1 inclusive Events on the Scale 0 1 Roll 7 on dice Snow in July (UK) Coin lands heads Rain in November Sun rises tomorrow Each dot marks an event's estimated position on the scale

Example 1 — Describing probability in words

Step 1
A bag has 3 red and 7 blue counters. One is picked at random.
Step 2
\(P(\text{red}) = \frac{3}{10} = 0.3\) — closer to 0 than to 0.5, so unlikely
Step 3
\(P(\text{blue}) = \frac{7}{10} = 0.7\) — closer to 1 than to 0.5, so likely

Example 2 — Placing a value on the scale

Step 1
A spinner has 5 equal sections numbered 1–5. Find \(P(\text{number} > 1)\).
Step 2
Numbers greater than 1: 2, 3, 4, 5 — four outcomes out of 5.
Step 3
\(P(\text{number} > 1) = \frac{4}{5} = 0.8\) — place near the likely/certain end.
Key vocabulary: Impossible (0) · Unlikely (close to 0) · Even chance (0.5) · Likely (close to 1) · Certain (1). Probability is never negative and never greater than 1.
✓ Quick Check 1 — The Probability Scale
Question 1 of 10
Probability as Fraction, Decimal and Percentage

Probability can be written in three equivalent forms. The key rule to know is the complement rule: if you know \(P(\text{event})\), you can always find \(P(\text{not event})\) by subtracting from 1.

\[P(\text{event}) + P(\text{not event}) = 1 \qquad \Rightarrow \qquad P(\text{not event}) = 1 - P(\text{event})\]
Three Ways to Write the Same Probability — P(head) Fraction 1 2 Decimal 0.5 Percentage 50% ÷ top by bottom × 100 The Complement Rule — Two Parts Always Sum to 1 P(event) = 0.65 P(not event) = 0.35 0.65 + 0.35 = 1 ✓

Example 3 — Converting between forms

Step 1
A dice is rolled. \(P(4) = \frac{1}{6}\)
Step 2
As a decimal: \(1 \div 6 = 0.1\overline{6} \approx 0.167\)
Step 3
As a percentage: \(0.167 \times 100 \approx 16.7\%\)

Example 4 — Using the complement rule

Step 1
The probability it rains tomorrow is 0.35.
Step 2
\(P(\text{not rain}) = 1 - 0.35\)
Step 3
\(P(\text{not rain}) = \mathbf{0.65}\)
Remember: \(P(\text{event}) + P(\text{not event}) = 1\) always. If you know one, subtract from 1 to find the other.
✓ Quick Check 2 — Fractions, Decimals, Percentages & Complement Rule
Question 1 of 10
Relative Frequency from Experimental Data

When we cannot calculate a theoretical probability, we estimate it from experiments. The relative frequency is the proportion of trials in which the event occurred. More trials means a more reliable estimate.

\[\text{Relative frequency} = \frac{\text{number of successful outcomes}}{\text{total number of trials}}\]
Successes vs Trials (true P ≈ 0.35) 20 40 60 80 100 Number of trials 0 35 35 successes ✓ More Trials → Estimate Gets Closer to True Probability Number of trials increases → — — — true probability

Example 5 — Calculating relative frequency

Step 1
A drawing pin is dropped 100 times. It lands point up 35 times.
Step 2
\(\text{Relative frequency} = \frac{35}{100} = 0.35\)
Step 3
We estimate \(P(\text{point up}) \approx 0.35\).
Step 4
This is not an exact value — it is an estimate based on experimental data.

Example 6 — Comparing reliability of estimates

Step 1
Trial A: 10 trials, 4 successes → relative frequency = \(\frac{4}{10} = 0.4\)
Step 2
Trial B: 1000 trials, 380 successes → relative frequency = \(\frac{380}{1000} = 0.38\)
Step 3
Trial B is a more reliable estimate — more trials reduce the effect of random variation.
Relative frequency vs theoretical probability: Use relative frequency when you have experimental data. Use the theoretical formula (favourable ÷ total equally-likely outcomes) for fair dice, coins, and cards.
✓ Quick Check 3 — Relative Frequency
Question 1 of 10

Practice: Relative Frequency Calculator

Enter the number of successes and total trials, then click Calculate.

Practice: The Probability Scale

Answer each question, then click Check All.

#QuestionAnswerResult
1What is P(a certain event)?
2What is P(an impossible event)?
3Convert the probability 3/4 to a decimal
4Convert the probability 0.2 to a percentage
5P(rain) = 0.35. What is P(no rain)?
6Coin flipped 200 times, 92 heads. Relative frequency of heads?
7Spinner spun 50 times, lands on red 20 times. Relative frequency of red?
8P(win) = 0.15. What is P(lose)?
9Convert the probability 0.6 to a fraction (simplest form)
10Die rolled 120 times, lands on 6 exactly 20 times. Relative frequency of a 6?

⚠ Things to Watch Out For

  • Using numbers outside 0 to 1: Probability is ALWAYS between 0 and 1 inclusive. A probability of 1.5 or −0.2 is impossible — recheck your calculation.
  • P(event) + P(not event) = 1: If P(rain) = 0.3, then P(no rain) = 0.7. These must sum to 1. This is one of the most useful probability rules.
  • Confusing "unlikely" with "impossible": Unlikely means low probability (but not zero). Impossible means probability = 0 (it cannot happen at all). These are different.
  • Relative frequency vs theoretical probability: Relative frequency (from experiments) approaches theoretical probability only with large numbers of trials. Fewer trials give less reliable estimates.
  • Expressing probability as a percentage or fraction: Probability can be expressed as a fraction, decimal, or percentage — they are equivalent. 0.4 = 2/5 = 40%. Make sure you convert correctly.
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