PrepShorts · Study sheet · Class 12 Mathematics · Chapter 13, ProbabilityPrepShorts

Chapter 13 · Probability

Multiplying along a chain of dependent draws, and extending it past two events

Chaining and independence15 min

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15 min.

The idea

§13.3 contains no new idea. It contains one algebraic move — clear the denominator in the definition of a conditional probability — and everything else on Part II pp. 415–417 is that move being used. What makes it worth twelve minutes is that the move turns a hard question into an easy one: the chance that several things all happen is a running product in which each factor is worked out in the world the earlier factors have already created. Fifteen balls become fourteen, fifty-two cards become fifty-one and then fifty. A student who reaches for the intersection directly is trying to count a set nobody wants to count; a student who reads the chain left to right is doing arithmetic on numbers the question hands over. The second reading is the whole section, and the chapter never says so out loud.

What you should be able to do

  • Derive the product form from the definition of a conditional probability, in one line, in both orders
  • Say why the two orders give the same value and what each needs to be nonzero
  • Read the shorthand in which an intersection of two events is written by juxtaposition
  • Identify, for a two-stage draw, which factor is unconditional and which is not
  • Recompute a second-stage probability after the first stage has changed the contents of the container
  • Extend the product to three events and write the condition on the third factor in both of the chapter's notations
  • Apply the same pattern to four or more stages without re-deriving it
  • Work a three-card draw and reduce the resulting fraction correctly
  • Recognise the same rule appearing inside the later theorems of the chapter, where it is used but not renamed

Words to know

TermDefinition in one lineFirst introduced
multiplication rule of probabilitythe rule giving the chance that two events both happen, as one probability times a conditionalprinted in this chapter, italicised where it is named (§13.3, Part II p. 415)
conditional probabilitythe chance of an event worked out on the shorter list a second event leaves standingprinted in this chapter (§13.2, Part II p. 407; Definition 1, Part II p. 408)
simultaneous occurrenceboth events happening on the same run of the experimentprinted in this chapter (§13.3, Part II p. 415; Remark (iii), Part II p. 418)
without replacementsaid of successive draws where what is taken out is not put backprinted in this chapter (§13.3, Part II pp. 415, 416; Exercise 13.2, Part II p. 421)
with replacementsaid of successive draws where what is taken out goes back before the nextprinted in this chapter (Exercise 13.2 Q13, Part II p. 422)
tree diagramthe branching drawing of a staged experiment, one level per stageprinted in this chapter, in quotation marks at Example 7 (Part II p. 412)
sample spacethe full list of outcomes an experiment can produceprinted in this chapter (§13.2, Part II p. 406)
chaina run of stages in which each factor is conditioned on everything before itan added word; it does not occur anywhere in this chapter in any sense
running productthe accumulating multiplication that the chain produces stage by stagean added compound, not printed here
stageone draw or one throw within a multi-step experimentan added label for the levels of the tree; the chapter does not name them

Where people slip up

  • "The second factor is just the probability of the second event." Only when the first draw changed nothing. In Example 8 the container has fourteen balls at the second stage, and using fifteen is the single most common wrong answer in the whole section.
  • "You have to count the intersection." You never do. That is the point of the rule: the intersection is expensive to count directly and cheap to build as a product.
  • "The two orders give different answers." They give the same value, because the intersection is symmetric. They are different computations — one needs the first probability and one conditional, the other needs the second probability and the other conditional — and in any given question one of the two is available and the other is not.
  • "Without replacement means the second factor is a guess." It is exactly determined. Say out loud what the container holds after the first draw, then read the second factor off that sentence, as the chapter does.
  • "For three events the last condition is only the event just before it." It is both earlier events at once. A student who conditions only on the immediately preceding stage will get Example 9 wrong at the third factor.
  • "Side-by-side event names mean a product of probabilities." They mean the intersection. The shorthand is introduced on Part II p. 415 and used inside a conditional bar on Part II p. 416, where mistaking it for a product produces nonsense.
  • "Each label on a tree branch is a probability of an outcome." Depends whose tree. In this chapter's own drawing the second-level labels are outcome probabilities; in the chain figure this topic needs, the edge labels are conditionals. Say which convention is shown every time a tree appears.
  • "§13.3 must have its own exercise somewhere." It does not. Its practice items sit inside Exercise 13.2, which is printed after the next section. A student working section by section will meet the multiplication questions under an independence heading and assume every one of them is about independence.
Transcript2,123 words

Almost every real probability question is not about one thing happening. It is about several things all happening. A king and then a queen, drawn one after the other. Two black balls out of a bag. Three sound oranges out of fifteen. And the direct way to answer those is horrible. You would have to count the set of all the ways the whole run could come out the way you want, and that set is enormous. For three cards from a full deck there are a hundred and thirty two thousand six hundred ordered triples to sort through.

There is one move that replaces the counting with arithmetic, and it turns out to be a move you have already seen, rearranged. Here is the whole idea, and it takes ten seconds. Last time you had a definition: the chance of one thing given another is the chance both happen, divided by the chance of the one you were told. Multiply both sides by the chance of the one you were told. The denominator on the right cancels.

And what is left is the chance that both happen, written as a product: the chance of the first, times the chance of the second given the first. That is it. That is the entire result. No new idea entered the room — the definition was simply turned round so that the intersection is on the left instead of buried in a numerator. But turning it round changes what it is good for. As a definition it tells you how to work out a conditional. As a product it tells you how to build an intersection you could never count.

Now do the same thing with the roles swapped. Start from the chance of the second given the first. Multiply through. You get the chance that both happen as the chance of the second, times the chance of the first given the second. Two products, and they are equal, because both of them are the chance that both events happen — and an intersection does not care which order you name its two events in.

I checked that over every ordered pair of events you can build out of a two-draw experiment where both events are possible. Two hundred and twenty five pairs, both orders, landing on the directly counted answer every time. But equal value does not mean interchangeable. They are different computations. One of them needs the chance of the first event and a conditional going forwards. The other needs the chance of the second event and a conditional going backwards, which is often a thing nobody has told you.

So you get two ways in, and in any real question one of the two is handed to you and the other is not. Let us do one properly. A bag holds fifteen balls. Ten are black, five are white. You draw two, one after the other, and you do not put the first one back. What is the chance that both are black? First factor. The chance the first ball is black. Ten black out of fifteen balls.

And I am going to leave that as ten over fifteen rather than tidying it to two thirds, for a reason that matters in about twenty seconds: fifteen is the number the next factor has to be built out of, and I do not want it hidden. Second factor. The chance the second ball is black, given that the first one was. This is where the whole topic lives, so say the state of the bag out loud before you write anything.

One black ball has gone. It did not come back. So the bag no longer holds fifteen balls, and it no longer holds ten black ones. It holds fourteen balls, nine of them black. That sentence is the answer. Nine out of fourteen. Read straight off the bag as it now is. Ten fifteenths times nine fourteenths. The fives cancel, the sevens cancel, and you are left with three sevenths.

And the direct count agrees. There are two hundred and ten ordered ways to draw two balls out of fifteen; ninety of them have black in both places; ninety over two hundred and ten is three sevenths. Same number, much more work. Now the mistake, which is the single most common wrong answer in this whole topic. Using ten over fifteen again for the second factor, because black balls are two thirds of the bag. That gives four ninths, and four ninths is not three sevenths.

What makes it seductive is that two thirds is a real number about this experiment. The chance that the second ball is black, asked with no information at all, genuinely is two thirds — the same as the first. It is just not the factor the product wants. Three events now, and there is exactly one thing to get right. The chance all three happen is the chance of the first, times the chance of the second given the first, times the chance of the third given the first and the second.

Both of them. Not just the one immediately before it. That is the error worth spending a minute on, because it looks harmless. Conditioning the third factor on only the second stage feels like it should be close enough. It is not close at all. I built every three-stage pattern of a deck draw — sixty four of them — as a running product, twice: once conditioning each factor on everything before it, once conditioning only on the stage just before.

The first way is right at all sixty four. The second way is right at none of them. Not a few. None. And the same thing happens with a bag drawn four times: sixteen patterns, all sixteen right the proper way, zero right the shortsighted way. Three cards from a full deck, none of them put back. You want a king, then another king, then an ace. Watch the denominators. Fifty two cards, then fifty one, then fifty. Each draw takes one card out of the world and the next factor is worked out in the world that is left.

First factor: four kings out of fifty two. Second factor: one king has gone, so three kings out of fifty one. Third factor: two cards have gone and neither of them was an ace, so all four aces are still there — but only fifty cards are. Four out of fifty. Multiply. Forty eight over one hundred and thirty two thousand six hundred. That is not an answer anybody wants to look at, so reduce it: both parts divide by twenty four, and what is left is two over five thousand five hundred and twenty five.

I want that division on screen rather than hidden, because an answer that appears without the cancellation looks like something that was looked up. And if you had conditioned the ace on only the second king, you would have written four over fifty one instead of four over fifty, and got four over eleven thousand two hundred and seventy one. Which looks every bit as respectable as the right answer.

Now change one word and watch what happens. A bag of ten black and eight red. Draw two — but this time put the first one back before drawing the second. The rule does not change. It is the same product, the same two factors, in the same order. What changes is that the second factor stops depending on the first. The bag at the second draw holds eighteen balls, eight of them red, whatever happened first. Four ninths either way.

So both red is eight eighteenths squared, sixteen over eighty one. Black then red is twenty over eighty one. One of each in either order is forty over eighty one. And there is a sharper way to see what putting it back did. I took the bag with three draws, and worked out every pattern twice — once properly, and once reading every factor off the bag as it started, ignoring everything that had happened.

Without replacement, the lazy reading is wrong at every pattern. With replacement, it is right at every pattern. That is not a different rule. That is the same rule, in a situation where the conditional factor happens to equal the unconditional one. Which is a thought worth holding on to. Here is the picture I would keep. Draw the run as a path. Each edge is one stage. Write on the edge the chance of that stage, worked out in the world the earlier edges have already produced. Write at each node the product so far.

Then the number at any node is the chance of getting that far, and the number at the end is the answer. Black all the way out of that bag of fifteen: two thirds, then three sevenths, then twenty four ninety firsts, then two thirteenths, then twelve over a hundred and forty three. Each of those I counted directly off the three hundred and sixty thousand ordered draws, and each one matches the running product exactly.

One warning about trees, because you will meet both conventions and they look identical. On the picture I have just described, an edge label is a conditional chance and a node label is a whole outcome's probability. You will also see trees drawn with outcome probabilities on the edges. On those, multiplying along the path gives you nonsense. So every time a tree appears, decide which kind it is before you multiply anything.

Back to the question I opened with, because it deserves an answer rather than an atmosphere. A king and then a queen, from a full deck, with nothing put back. Four kings out of fifty two, then four queens out of fifty one — taking a king out does not remove any queens. That is four over six hundred and sixty three. But notice the wording is doing something quietly. Did you want the king first? Or just one of each, in whichever order they came?

If either order counts, add the other path: queen first, then king, which is the same four over six hundred and sixty three, and the two share no outcome at all, so it is a plain sum. Eight over six hundred and sixty three. Two different answers, and the words alone do not settle which. So say which reading you have taken, every time. That habit is worth more marks than any formula on this board.

Two to try, and they are the same move with different furniture. Two cards from a full deck, nothing put back, both black. Twenty six over fifty two, times twenty five over fifty one. Twenty five over a hundred and two. That is the bag of balls again with a deck instead of a bag. Fifteen oranges, twelve of them sound, three drawn, all three wanted sound. Twelve fifteenths, then eleven fourteenths, then ten thirteenths. Forty four over ninety one.

Notice what you did not do in either. You did not count a single intersection. You wrote down what was in the container, took one thing out, wrote down what was in it now, and multiplied. And one last thing about running out. A chain can stop being possible. Take a container of two black balls and one white and draw three times: of the eight patterns you might write down, only three actually exist, and a chain asked for one of the others simply has nowhere to stand at the second or third step.

The answer there is not a small number. It is that the question has no ground to be asked on. What to keep. The chance that several things all happen is a product, not a count. You never have to enumerate the intersection, and that is the entire point of the result. Each factor is worked out in the world the earlier factors have already created. Say what the container holds before you write the next fraction down.

The condition on a factor carries every earlier stage, not just the one before it. Conditioning on only the previous stage was wrong at every single pattern I tested, in every experiment I tested it in. Both orders are legal and they give the same value, because an intersection is symmetric. They need different inputs, and in practice only one of the two will be available. Put it back and the conditional factor stops depending on anything. Same rule, special case — and that special case has a name and a topic of its own coming next.

And when the wording is ambiguous about order, answer it twice and say so.

The book

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