Probability: Question 2

Syllabus 5.3

Structured AS 8 marks

A fitness studio has 120120 members. Each member's attendance is recorded for two classes, Yoga and Spin, and summarised in the two-way table below.

Attends Spin Does not attend Spin Total
Attends Yoga 18 42 60
Does not attend Yoga 24 36 60
Total 42 78 120

One member is selected at random from the 120120 members.

(a) Find P(Yoga)P(\text{Yoga}) and P(Yoga and Spin)P(\text{Yoga and Spin}). [2]

(b) State, with a reason, whether the events "attends Yoga" and "attends Spin" are mutually exclusive. [1]

(c) Determine, showing your working, whether the events "attends Yoga" and "attends Spin" are independent. [3]

(d) Find P(SpinYoga)P(\text{Spin} \mid \text{Yoga}). [2]

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Worked solution

Part (a): Reading probabilities from the table

From the table, 6060 of the 120120 members attend Yoga, and 1818 of the 120120 members attend both Yoga and Spin: P(Yoga)=60120=0.5P(Yoga and Spin)=18120=0.15P(\text{Yoga}) = \frac{60}{120} = 0.5 \qquad P(\text{Yoga and Spin}) = \frac{18}{120} = 0.15

Part (b): Testing mutual exclusivity

Two events are mutually exclusive only if they can never happen together, i.e. if P(AB)=0P(A \cap B) = 0.

Here, P(Yoga and Spin)=0.150P(\text{Yoga and Spin}) = 0.15 \neq 0. Indeed, the table shows 1818 members do both. So the events are not mutually exclusive.

Part (c): Testing independence

Two events AA and BB are independent exactly when P(AB)=P(A)×P(B)P(A \cap B) = P(A) \times P(B).

First find P(Spin)P(\text{Spin}) from the table: P(Spin)=42120=0.35P(\text{Spin}) = \frac{42}{120} = 0.35

Now compare the product with the actual joint probability: P(Yoga)×P(Spin)=0.5×0.35=0.175P(\text{Yoga}) \times P(\text{Spin}) = 0.5 \times 0.35 = 0.175 P(Yoga and Spin)=0.15P(\text{Yoga and Spin}) = 0.15

Since 0.1750.150.175 \neq 0.15, the events are not independent (a member who attends Yoga is in fact slightly less likely to also attend Spin than a randomly chosen member).

Check by an alternative method: compare P(SpinYoga)P(\text{Spin} \mid \text{Yoga}) with P(Spin)P(\text{Spin}). If the events were independent these would be equal. P(SpinYoga)=1860=0.3butP(Spin)=0.35P(\text{Spin} \mid \text{Yoga}) = \frac{18}{60} = 0.3 \qquad \text{but} \qquad P(\text{Spin}) = 0.35 Since 0.30.350.3 \neq 0.35, this confirms the events are not independent, agreeing with the product test above.

Part (d): Conditional probability

P(SpinYoga)=P(Yoga and Spin)P(Yoga)=0.150.5=0.3P(\text{Spin} \mid \text{Yoga}) = \frac{P(\text{Yoga and Spin})}{P(\text{Yoga})} = \frac{0.15}{0.5} = 0.3

This matches directly restricting attention to the 6060 Yoga members, of whom 1818 also attend Spin: P(SpinYoga)=1860=0.3P(\text{Spin} \mid \text{Yoga}) = \frac{18}{60} = 0.3

Consistency check: using the table probabilities, P(Yoga only)=0.50.15=0.35=42120P(\text{Yoga only}) = 0.5 - 0.15 = 0.35 = \frac{42}{120}, P(Spin only)=0.350.15=0.2=24120P(\text{Spin only}) = 0.35 - 0.15 = 0.2 = \frac{24}{120}, and P(neither)=10.50.35+0.15=0.3=36120P(\text{neither}) = 1 - 0.5 - 0.35 + 0.15 = 0.3 = \frac{36}{120}. All of these match the table exactly, confirming every value used above is consistent.

Final answers

  • (a) P(Yoga)=0.5P(\text{Yoga}) = \boxed{0.5}, P(Yoga and Spin)=0.15P(\text{Yoga and Spin}) = \boxed{0.15}
  • (b) Not mutually exclusive, since P(Yoga and Spin)=0.150P(\text{Yoga and Spin}) = 0.15 \neq 0.
  • (c) Not independent, since 0.1750.150.175 \neq 0.15.
  • (d) P(SpinYoga)=0.3P(\text{Spin} \mid \text{Yoga}) = \boxed{0.3}