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Lesson 1 of 4

Given that.

About 25 minutes · 5 practice questions

What information does to a chance: count again inside the event you know happened, $P(A \mid B)$ against $P(B \mid A)$, independent events, and why mutually exclusive events are not independent.

Step 1 of 5 · Counting inside the condition

Step 1 of 5

Counting inside the condition

Two dice are rolled, and a friend peeks and says: “The first die shows 66⁠”. That changes the picture. Of the 3636⁠ outcomes, those where the first die is not a 66⁠ are no longer possible. Only 66⁠ squares are left, and they are still equally likely.

On the board the pink squares are the event you know, BB⁠: the first is 66⁠. The blue squares are the event AA⁠ you are asking about: a total of 1010⁠ or more. The amber squares belong to both. Conditional probability, “the chance of AA⁠ given BB⁠”, counts only inside BB⁠: the number of squares in both over the number of squares in BB⁠. In chances:

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

The vertical bar ∣\mid⁠ is read “given”, and A∩BA \cap B⁠ is “AA⁠ and BB⁠”. The board prints how many squares are in each event and how many in both.

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Step 2 of 5

The other way round

Now AA⁠ is “a total of 1111⁠ or more”, only three squares, and BB⁠ is still “the first is 66⁠”. The two events share 22⁠ squares.

P(A∣B)P(A \mid B)⁠ counts the 22⁠ amber squares out of the 66⁠ pink ones. And if the information is the other way round: you know only that the total is 1111⁠ or more?

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Step 3 of 5

News that changes nothing

The news “the first is 66⁠” tripled the chance of a total of 1010⁠ or more. Does information always change a chance? Now AA⁠ is “a total of exactly 77⁠”. The board hides the squares until you predict.

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Step 4 of 5

The independent total

When news of BB⁠ does not change the chance of AA⁠, that is P(A∣B)=P(A)P(A \mid B) = P(A)⁠, the events are independent. Multiply both sides by P(B)P(B)⁠ to get a handy test, which also shows the link works both ways:

P(A∩B)=P(A)⋅P(B)P(A \cap B) = P(A) \cdot P(B)⁠

This is the multiplication rule you met in the probability Unit, for three coin tosses, say. Now you can see when it is allowed: only when the events are independent.

First die is fixed at 66⁠. Look for the total that is independent of it.

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Step 5 of 5

Cannot happen together

Two ideas that are easy to mix up: mutually exclusive events cannot happen together, and share no square at all. Independent events do not affect each other’s chances. The board now shows a total of 22⁠, one square, and a first die of 66⁠.

To the question

Interactive scene

Loading the interactive version…

Each step sets up the Scene for you, and a control marked “fixed” stays put for that step.

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Practice · Calculate

Two dice are rolled, and someone peeks and says: “The first die shows 66⁠”. What is the chance the total is 1010⁠ or more? Give it as a per cent, the number only.

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Practice · Calculate

Now the other way round: someone says only “the total is 1111⁠ or more”. What is the chance the first die shows 66⁠? Give it as a per cent, the number only.

To the experiment

Practice · Predict, then look

With no information, the chance of a total of 77⁠ is 636=16\frac{6}{36} = \frac{1}{6}⁠. Now you learn the first die shows 66⁠. What is the chance of a total of 77⁠ now?

To the experiment

Practice · Reach the target

The pink event, BB⁠, is “the first is 66⁠”. Change Total until the blue event, AA⁠, “the total is this one”, is independent of BB⁠: P(A∩B)=P(A)⋅P(B)P(A \cap B) = P(A) \cdot P(B)⁠. Then press Check.

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Practice · Choose

The events “a total of 22⁠” and “the first is 66⁠” cannot happen on the same roll: there is no amber square on the board. Are they independent?