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Pearson Edexcel 4MA1 IGCSE  ·  Topic G7.17  ·  Higher tier

G7.17 Conditional Probability

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01 — Explanation

What does P(A|B) actually mean?

"The probability of AA, given that BB has already happened." The condition BB shrinks the sample space down to only the outcomes where BB is true — everything outside BB becomes irrelevant.

Example: from {1,…,9}\{1,\ldots,9\}, P(multiple of 3)=39=13P(\text{multiple of }3)=\tfrac39=\tfrac13. But given the number is even (new universe {2,4,6,8}\{2,4,6,8\}), P(multiple of 3∣even)=14P(\text{multiple of }3\mid\text{even})=\tfrac14 — a different answer, because the denominator changed.

02 — Explanation

What's the formula, and why does it match the "restrict the universe" method?

P(A∣B)=P(A∩B)P(B)P(A|B)=\frac{P(A\cap B)}{P(B)}

This is just the intuitive method written algebraically: P(B)P(B) is the new (restricted) denominator, and P(A∩B)P(A\cap B) is how much of AA survives inside that restriction.

03 — Explanation

How do independent and dependent events relate to this formula?

The general rule always holds: P(A∩B)=P(A)×P(B∣A)P(A\cap B)=P(A)\times P(B|A). If the events are independent, knowing AA happened changes nothing, so P(B∣A)=P(B)P(B|A)=P(B) — and the formula collapses to the familiar P(A∩B)=P(A)×P(B)P(A\cap B)=P(A)\times P(B). Independent events are just a special case of the general rule, not a separate one.

04 — Explanation

How do I build a tree diagram for "without replacement" problems?

The second set of branches must be adjusted: the total decreases by 1, and whichever outcome was picked first also loses one from its own count.

Example: bag has 6 red, 4 green (10 total), no replacement.

  • First pick: P(R1)=610P(R_1)=\tfrac6{10}, P(G1)=410P(G_1)=\tfrac4{10}.
  • If red was picked first: 5 red, 4 green left (9 total) → P(R2∣R1)=59P(R_2|R_1)=\tfrac59.
  • If green was picked first: 6 red, 3 green left (9 total) → P(G2∣G1)=39P(G_2|G_1)=\tfrac39.

Multiply along branches for "and"; add between branches for "or".

05 — Explanation

How do I solve a "reverse conditional" question — e.g. given the second pick, find something about the first?

Don't reuse the forward branch probability directly — apply the formula properly, since P(A∣B)≠P(B∣A)P(A|B)\ne P(B|A) in general.

Worked exam-style question: Same bag (6 red, 4 green, no replacement). Given the second marble was green, find the probability the first was red.

  1. Target: P(R1∣G2)=P(R1∩G2)P(G2)P(R_1|G_2)=\dfrac{P(R_1\cap G_2)}{P(G_2)}.
  2. Numerator: P(R1∩G2)=610×49=2490P(R_1\cap G_2)=\tfrac6{10}\times\tfrac49=\tfrac{24}{90}.
  3. Denominator — G2G_2 can happen two ways: P(R1∩G2)+P(G1∩G2)=2490+(410×39)=2490+1290=3690P(R_1\cap G_2)+P(G_1\cap G_2)=\tfrac{24}{90}+\left(\tfrac4{10}\times\tfrac39\right)=\tfrac{24}{90}+\tfrac{12}{90}=\tfrac{36}{90}.
  4. P(R1∣G2)=24/9036/90=2436=23P(R_1|G_2)=\dfrac{24/90}{36/90}=\dfrac{24}{36}=\dfrac23.

Exam Tip: Writing P(A∣B)P(A|B) notation down first — and being explicit about which event sits after the "∣|" — stops you from accidentally answering the reverse question.

06 — Explanation

How do I read conditional probability from a Venn diagram or two-way table?

Same restriction idea: the "given" event's row/column/circle total becomes your denominator; the overlap with the other event becomes your numerator.

Two-way table example (55 students): P(Spanish∣Year 13)P(\text{Spanish}\mid\text{Year 13}) uses only the Year 13 row (total 30), with Spanish-and-Year-13 (5) on top: 530=16\tfrac{5}{30}=\tfrac16. Note P(Year 13∣Spanish)P(\text{Year 13}\mid\text{Spanish}) uses the Spanish column total (20) instead: 520=14\tfrac{5}{20}=\tfrac14 — a completely different number, confirming P(A∣B)≠P(B∣A)P(A|B)\ne P(B|A).

07 — Explanation

How do I formally test whether two events are independent?

Check either equivalent condition:

P(A∣B)=P(A)or equivalentlyP(A∩B)=P(A)×P(B)P(A|B)=P(A) \qquad\text{or equivalently}\qquad P(A\cap B)=P(A)\times P(B)

Worked example: P(A)=0.5P(A)=0.5, P(B)=0.6P(B)=0.6, P(A∪B)=0.8P(A\cup B)=0.8. Find P(A∩B)P(A\cap B) via the addition rule: 0.8=0.5+0.6−P(A∩B)⇒P(A∩B)=0.30.8=0.5+0.6-P(A\cap B)\Rightarrow P(A\cap B)=0.3. Compare: P(A)×P(B)=0.5×0.6=0.3P(A)\times P(B)=0.5\times0.6=0.3. Since these match, AA and BB are independent.

08 — Common mistakes

Common mistakes to avoid

  • Confusing P(A∩B)P(A\cap B) (divide by the overall total) with P(A∣B)P(A|B) (divide by the restricted total) — "given" is an instruction to change your denominator.
  • Swapping P(A∣B)P(A|B) for P(B∣A)P(B|A).
  • Forgetting that P(B)P(B) in the denominator of a reverse-conditional problem usually has to be built from two branches added together, not read straight off one.
  • Assuming events are independent without actually checking the test.