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Probability

Six numbers, two circles, two words people mix up.

Roll one fair die and everything in this chapter is already in front of you: a sample space, a union, an intersection, and the difference between mutually exclusive and independent.

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The sample space

Six equally likely outcomes, so every probability is just a count:

P(A)=n(A)n(S)P(A) = \frac{n(A)}{n(S)}

The rectangle holds all of them — that is what makes P(S)=1P(S) = 1.

Two events, four regions

AA is "even", BB is "a multiple of 3". Every outcome lands in exactly one of four regions, and 6 is the only one in both.

P(A)=12P(B)=13P(A∩B)=16\begin{gathered} P(A) = \tfrac12 \qquad P(B) = \tfrac13 \\ P(A \cap B) = \tfrac16 \end{gathered}

Why you subtract

Shade both circles and the lens goes darker — because the 6 has been counted twice. Take it off once:

P(A∪B)=12+13−16=23P(A \cup B) = \tfrac12 + \tfrac13 - \tfrac16 = \tfrac23

Which is the four outcomes 2, 3, 4 and 6, as the picture says.

Independent

Independence is a calculation, not a feeling. Multiply and compare:

P(A)×P(B)=12×13=16=P(A∩B)\begin{aligned} P(A) \times P(B) &= \tfrac12 \times \tfrac13 \\ &= \tfrac16 = P(A \cap B) \end{aligned}

They match, so AA and BB are independent: an even score doesn't change the chance of a multiple of 3.

Not the same word

Now take CC: "the score is 5". AA and CC cannot both happen, so they are mutually exclusive and P(A∩C)=0P(A \cap C) = 0.

But P(A)×P(C)=112P(A) \times P(C) = \tfrac{1}{12}, which is not 0. Knowing the score is 5 drops the chance of "even" from 12\tfrac12 to nothing — the strongest influence there is. Mutually exclusive events can never be independent.

Chapter 5

Two circles will take you a long way.

Sample spaces, three-set Venn diagrams, tree diagrams, sampling with and without replacement, and twelve graded exam questions with full worked solutions are waiting.