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Probability
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:
The rectangle holds all of them — that is what makes .
Two events, four regions
is "even", is "a multiple of 3". Every outcome lands in exactly one of four regions, and 6 is the only one in both.
Why you subtract
Shade both circles and the lens goes darker — because the 6 has been counted twice. Take it off once:
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:
They match, so and are independent: an even score doesn't change the chance of a multiple of 3.
Not the same word
Now take : "the score is 5". and cannot both happen, so they are mutually exclusive and .
But , which is not 0. Knowing the score is 5 drops the chance of "even" from to nothing — the strongest influence there is. Mutually exclusive events can never be independent.
Chapter 5
Sample spaces, three-set Venn diagrams, tree diagrams, sampling with and without replacement, and twelve graded exam questions with full worked solutions are waiting.