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 ”. That changes the picture. Of the outcomes, those where the first die is not a are no longer possible. Only squares are left, and they are still equally likely.
On the board the pink squares are the event you know, : the first is . The blue squares are the event you are asking about: a total of or more. The amber squares belong to both. Conditional probability, “the chance of given ”, counts only inside : the number of squares in both over the number of squares in . In chances:
The vertical bar is read “given”, and is “ and ”. The board prints how many squares are in each event and how many in both.
Step 2 of 5
The other way round
Now is “a total of or more”, only three squares, and is still “the first is ”. The two events share squares.
counts the amber squares out of the pink ones. And if the information is the other way round: you know only that the total is or more?
Step 3 of 5
News that changes nothing
The news “the first is ” tripled the chance of a total of or more. Does information always change a chance? Now is “a total of exactly ”. The board hides the squares until you predict.
Step 4 of 5
The independent total
When news of does not change the chance of , that is , the events are independent. Multiply both sides by to get a handy test, which also shows the link works both ways:
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 . Look for the total that is independent of it.
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 , one square, and a first die of .
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Each step sets up the Scene for you, and a control marked “fixed” stays put for that step.
Practice · Calculate
Two dice are rolled, and someone peeks and says: “The first die shows ”. What is the chance the total is or more? Give it as a per cent, the number only.
Practice · Calculate
Two dice are rolled, and someone peeks and says: “The first die shows ”. What is the chance the total is or more? Give it as a per cent, the number only.
Practice · Calculate
Now the other way round: someone says only “the total is or more”. What is the chance the first die shows ? Give it as a per cent, the number only.
Practice · Calculate
Now the other way round: someone says only “the total is or more”. What is the chance the first die shows ? Give it as a per cent, the number only.
Practice · Predict, then look
With no information, the chance of a total of is . Now you learn the first die shows . What is the chance of a total of now?
Practice · Predict, then look
With no information, the chance of a total of is . Now you learn the first die shows . What is the chance of a total of now?
Practice · Reach the target
The pink event, , is “the first is ”. Change Total until the blue event, , “the total is this one”, is independent of : . Then press Check.
Practice · Reach the target
The pink event, , is “the first is ”. Change Total until the blue event, , “the total is this one”, is independent of : . Then press Check.
Practice · Choose
The events “a total of ” and “the first is ” cannot happen on the same roll: there is no amber square on the board. Are they independent?
Practice · Choose
The events “a total of ” and “the first is ” cannot happen on the same roll: there is no amber square on the board. Are they independent?
Lesson complete. Every practice question here is done.