14.1 Events and Their Algebra
List every possible result of an experiment as a set $S$, and every event becomes a subset of $S$. Then “not $A$”, “$A$ or $B$”, “$A$ and $B$” and “$A$ but not $B$” are just $A'$, $A\cup B$, $A\cap B$ and $A-B$.
Before an IPL match the two captains walk out for the toss; in a game of Ludo you need a six to bring a counter out; a quiz app picks one question at random from a bank of two hundred. In each case we cannot say in advance what will happen — but we can say exactly what might happen. Writing that list down carefully is the first step of every probability calculation, and most mistakes in probability come from skipping it: counting $(1,2)$ and $(2,1)$ as the same result when they are not, or forgetting a case altogether.
In this section we describe the possible results of an experiment as a set, the sample space, and the things we are interested in ("a six", "at least two heads", "a red king") as its subsets, the events. Because events are sets, all the operations of Section 1.3 — union, intersection, difference, complement and De Morgan's laws — carry over at once, and they turn out to be exactly the words "or", "and", "but not" and "not". We finish with two properties that decide how probabilities combine: events that cannot happen together, and collections of events that between them cover every possibility. No probabilities yet — those come in Section 14.2.
The Sample Space
Tossing a coin, throwing a die, drawing a card from a well-shuffled pack, choosing a student at random from a class: each is an experiment that can be repeated under the same conditions, whose possible results are all known in advance, but whose actual result on any one occasion cannot be predicted. Such an experiment is called a random experiment, and each possible result is an outcome. (Class 10 Mathematics, Chapter 14, used these words informally; we now make them into sets.)
The sample space of a random experiment is the set $S$ of all its possible outcomes, listed so that every trial of the experiment produces exactly one element of $S$. Each element of $S$ is called a sample point. If $S$ is finite, $n(S)$ denotes the number of sample points.
The two requirements matter. "Every trial gives an element of $S$" means nothing is forgotten; "exactly one" means no two listed outcomes can happen at the same time. For a die, $\{1,2,3,4,5,6\}$ is a sample space, but $\{\text{even},\ \text{odd},\ \text{six}\}$ is not: a throw of $6$ is both "even" and "six".
(a) A coin is tossed three times.
(b) Two dice, one red and one blue, are thrown together.
(c) A family with two children is chosen, and the genders are recorded in order of birth. What if only the number of girls is recorded?
(d) A coin is tossed. If it shows a head, a die is thrown; if it shows a tail, the coin is tossed once more.
(a) Four coins are tossed. (b) Two students are chosen together from five, $A,B,C,D,E$, to represent the class. (c) Two cards are drawn one after the other, without replacement, from four cards numbered $1,2,3,4$, and the order is recorded. (d) A three-digit code is set using the digits $0$–$9$, repetition allowed. (e) A coin is tossed until the first head appears.
Events
We are rarely interested in one exact outcome. A Ludo player wants "a six"; a batsman's team wants "an even number of runs off the last ball"; a gambler wants "at least one double six". Each such description picks out some of the sample points and not others — that is, it defines a subset of $S$.
An event is a subset $E$ of the sample space $S$. When the experiment is performed and the outcome is $\omega$, we say that the event $E$ has occurred if $\omega\in E$, and that $E$ has not occurred if $\omega\notin E$.
For a die, $S=\{1,2,3,4,5,6\}$ and the event "an even number" is $E=\{2,4,6\}$. If the die shows $4$, then $E$ has occurred; if it shows $5$, it has not. Many different events can occur on the same throw: a $4$ is also "more than $3$" and "not a six".
Let $S$ be a sample space.
- The empty set $\phi$ is the impossible event: no outcome lies in it, so it never occurs.
- $S$ itself is the sure event: every outcome lies in it, so it always occurs.
- An event with exactly one sample point, $\{\omega\}$, is a simple event (also called an elementary event).
- An event with more than one sample point is a compound event.
So an event is decided by its sample points, not by the words used to describe it. "A number greater than $6$ on a die" and "a number that is both odd and even" are both $\phi$. A sample space with $n$ points has exactly $n$ simple events, one for each point.
$A$: exactly two heads. $B$: at least two heads. $C$: no head. $D$: more than three heads. $F$: at most three heads. $G$: the first and last tosses agree.
If the coin actually falls $HTH$, which of these events have occurred?
The Algebra of Events
Since events are subsets of $S$, we can combine them with the set operations of Chapter 1, taking $S$ as the universal set. Each operation has a plain-English meaning, and learning to translate in both directions is most of the work in a probability problem.
Let $A$ and $B$ be events of a sample space $S$.
- The complementary event of $A$, written $A'$ and read "not $A$", is $A'=S-A=\{\omega\in S:\omega\notin A\}$. It occurs exactly when $A$ does not.
- The event "$A$ or $B$" is the union $A\cup B$: it occurs when at least one of $A$, $B$ occurs (possibly both).
- The event "$A$ and $B$" is the intersection $A\cap B$: it occurs when both occur.
- The event "$A$ but not $B$" is the difference $A-B=A\cap B'$: it occurs when $A$ occurs and $B$ does not.
| in words | as a set | occurs when the outcome $\omega$… |
|---|---|---|
| not $A$ | $A'$ | $\omega\notin A$ |
| $A$ or $B$ (at least one of them) | $A\cup B$ | $\omega\in A$ or $\omega\in B$ |
| $A$ and $B$ (both) | $A\cap B$ | $\omega\in A$ and $\omega\in B$ |
| $A$ but not $B$ (only $A$) | $A-B=A\cap B'$ | $\omega\in A$, $\omega\notin B$ |
| neither $A$ nor $B$ | $(A\cup B)'=A'\cap B'$ | $\omega\notin A$ and $\omega\notin B$ |
| exactly one of $A$, $B$ | $(A-B)\cup(B-A)$ | $\omega$ is in one of them but not both |
The word "or" in probability is always the inclusive or — "a king or a heart" includes the king of hearts. When only one of the two is wanted, say "exactly one".
For any events $A$, $B$ of a sample space $S$:
(i) $(A')'=A$, $\ A\cup A'=S$, $\ A\cap A'=\phi$, $\ S'=\phi$, $\ \phi'=S$.
(ii) De Morgan's laws: $(A\cup B)'=A'\cap B'$ and $(A\cap B)'=A'\cup B'$. In words: "not ($A$ or $B$)" is "neither $A$ nor $B$", and "not both" is "at least one of them fails".
(iii) Splitting an event: $A=(A\cap B)\cup(A-B)$, and the two pieces have no sample point in common. Likewise $A\cup B=(A-B)\cup(A\cap B)\cup(B-A)$, three pieces with no point in common.
Proof. Events are subsets of the universal set $S$, so (i) and (ii) are the laws of complements and De Morgan's laws already proved for sets in Section 1.3. For (iii), take any $\omega\in A$. Either $\omega\in B$, and then $\omega\in A\cap B$; or $\omega\notin B$, and then $\omega\in A-B$. So $A\subset(A\cap B)\cup(A-B)$; the reverse inclusion holds because both pieces are parts of $A$. No $\omega$ can be in both pieces, since that would need $\omega\in B$ and $\omega\notin B$. The three-piece statement follows in the same way by sorting each $\omega\in A\cup B$ according to whether it lies in $A$ only, in both, or in $B$ only. $\blacksquare$
Mutually Exclusive and Exhaustive Events
Two questions about a collection of events decide how their probabilities will combine: can two of them happen together? and between them, do they cover everything that can happen?
Two events $A$ and $B$ are mutually exclusive if $A\cap B=\phi$: they have no sample point in common, so the occurrence of one rules out the other. Events $E_1,E_2,\dots,E_n$ are mutually exclusive if every two of them are: $E_i\cap E_j=\phi$ whenever $i\ne j$.
Events $E_1,E_2,\dots,E_n$ are exhaustive if $E_1\cup E_2\cup\cdots\cup E_n=S$: on every trial at least one of them occurs.
If $E_1,\dots,E_n$ are both mutually exclusive and exhaustive, then on every trial exactly one of them occurs.
Two families are always mutually exclusive and exhaustive. An event and its complement: $A\cap A'=\phi$ and $A\cup A'=S$ (Theorem 14.1(i)). And the simple events of a finite sample space: if $S=\{\omega_1,\dots,\omega_n\}$, the events $\{\omega_1\},\dots,\{\omega_n\}$ never overlap and together make up $S$ — that is just the "exactly one outcome per trial" requirement of Definition 14.1. Section 14.2 builds the whole theory of probability on this second fact.
1. Treating ordered outcomes as unordered. With two dice, "a $1$ and a $2$" is two outcomes, $(1,2)$ and $(2,1)$. Imagine the dice in different colours and the problem disappears. The same goes for three coins: "two heads and a tail" is three outcomes, not one.
2. Mixing up mutually exclusive and complementary. Complementary events are mutually exclusive and exhaustive. "Throw a $1$" and "throw a $2$" are mutually exclusive but not complementary — they leave out $3,4,5,6$.
3. Reading "or" as "exactly one". $A\cup B$ includes the outcomes in both. If you want one but not both, use $(A-B)\cup(B-A)$.
4. Confusing $A-B$ with $B-A$. "$A$ but not $B$" keeps the part of $A$ outside $B$; in Example 4, $n(A-B)=2$ but $n(B-A)=6$.
5. Thinking exhaustive means mutually exclusive. Exhaustive events cover $S$ but may overlap (Example 6(e)); mutually exclusive events never overlap but may leave gaps (Example 6(c)).
6. Negating "at least one" wrongly. The complement of "at least one head in three tosses" is "no head", $\{TTT\}$ — not "at most one head" and not "exactly one head".
Exercises
- 1 A coin is tossed and a die is thrown together. Write the sample space and find $n(S)$.
- 2 A bag contains two red balls $R_1,R_2$ and one green ball $G$. Two balls are taken out together. Write the sample space.
- 3 From the same bag, one ball is taken out, its label noted, and it is put back; then a second ball is taken out. Find $n(S)$ if the labels are recorded in order.
- 4 A die is thrown twice and only the larger of the two numbers is recorded (if they are equal, that number). Write the sample space.
- 5 Find $n(S)$ when five coins are tossed.
- 6 Three students are chosen together from a group of eight to form a team. Find $n(S)$.
- 7 The letters of the word DICE are arranged in a row at random. Find $n(S)$.
- 8 A coin is tossed. If it shows a head it is tossed again; if it shows a tail a die is thrown. Write the sample space.
- 9 A family has three children. Write the sample space of their genders in order of birth.
- 1 Three coins are tossed. Write the event "at least one tail".
- 2 Three coins are tossed. Write the event "exactly one head".
- 3 Three coins are tossed. Write the event "a head on the second toss".
- 4 Two dice are thrown. Write the event "the sum is $7$".
- 5 Two dice are thrown. Write the event "the sum is less than $4$".
- 6 Two dice are thrown. Write the event "the sum is greater than $12$". What type of event is it?
- 7 Two dice are thrown. Write the event "the product of the numbers is $12$".
- 8 Classify each event as simple, compound, sure or impossible: (a) a die shows a number at most $6$ (b) a die shows $7$ (c) two dice show a double six (d) two dice show a doublet (the same number on both).
- 9 One card is drawn from a pack of $52$. How many sample points does the event "a red face card" have? List them.
- 1 Find $A\cup B$.
- 2 Find $A\cap B$.
- 3 Find $A-B$ and describe it in words.
- 4 Find $B'$.
- 5 Find $A'\cap B'$ and check that it equals $(A\cup B)'$.
- 6 Find $(A\cap C)'$.
- 7 Find $B-C$.
- 8 Find $A\cap B\cap C$.
- 9 Two dice are thrown; $X$: "the first die shows $6$", $Y$: "the sum is at least $10$". Find $n(X\cap Y)$, $n(X\cup Y)$ and $n(Y-X)$.
- 10 A student is chosen at random from a school; $A$: "plays cricket", $B$: "plays chess". Write in set notation: (a) plays neither game (b) plays only cricket (c) plays at least one of the games (d) does not play both.
- 1 A die is thrown; $E=\{1,3,5\}$, $F=\{2,4\}$, $G=\{6\}$. Are $E,F,G$ mutually exclusive? Exhaustive?
- 2 A die is thrown; $P=\{1,2,3\}$, $Q=\{3,4,5,6\}$. Are $P$ and $Q$ mutually exclusive? Exhaustive?
- 3 Two dice are thrown. Are the events "the sum is $7$" and "a doublet" mutually exclusive? Are they exhaustive?
- 4 Three coins are tossed. Show that "at least two heads" and "at least two tails" are complementary events.
- 5 One card is drawn from a pack. Are "a spade" and "an ace" mutually exclusive?
- 6 Give three events of a single throw of a die that are mutually exclusive and exhaustive, none of them a simple event.
- 7 Prove that if $A$ and $B$ are mutually exclusive events then $A\subset B'$.
- 8 A quality inspector tests three bulbs from a batch and records each as $D$ (defective) or $G$ (good). Write the events $E_0$: "no defective", $E_1$: "exactly one defective" and $E_2$: "at least two defective", and show that they are mutually exclusive and exhaustive.
- 9 In one over a bowler delivers six legal balls, and each ball is recorded only as a dot ball ($0$) or a scoring ball ($R$). Find $n(S)$, and the number of sample points in the event "at least one scoring ball".
How this is examined: Board papers ask you to write a sample space (often a two-stage experiment), to list an event, its complement or a union, intersection or difference, and to decide whether given events are mutually exclusive or exhaustive (1–3 marks). JEE rarely asks about events alone — but every probability question begins with a correct sample space, and counting its points quickly with ${}^nC_r$ and ${}^nP_r$ is tested directly.
E1. Board · 1 mark Three coins are tossed. The complement of the event "at least one head" is (A) "exactly one tail" (B) $\{TTT\}$ (C) "at most one head" (D) "exactly one head"
E2. Board · 2 marks Two dice are thrown. Let $A$: "the sum is even" and $B$: "the sum is a multiple of $3$". Write $A\cap B$ and state, with a reason, whether $A$ and $B$ are mutually exclusive.
E3. Board · 3 marks A coin is tossed. If it shows a head, a ball is drawn from a bag containing $3$ red and $4$ black balls; if it shows a tail, a die is thrown. Describe the sample space. Write the events $A$: "the die shows a number greater than $4$" and $B$: "a black ball is drawn", and decide whether $A$ and $B$ are mutually exclusive and whether they are exhaustive.
E4. Board · Case study At a blood-donation camp each donor's blood group ($A$, $B$, $AB$ or $O$) and Rh factor ($+$ or $-$) are recorded, for example $AB+$. (i) Write the sample space for one donor. (1 mark) (ii) Let $E$: "the group contains antigen A" (groups $A$ and $AB$) and $F$: "Rh negative". Write $E\cap F$. (1 mark) (iii) Write the event "neither antigen A nor Rh positive" in terms of $E$ and $F$, and list it. (2 marks)
E5. JEE Main A die is thrown three times. The number of sample points in the event "the three numbers obtained are all different and appear in increasing order" is (A) $20$ (B) $120$ (C) $216$ (D) $56$
E6. JEE Advanced One or more options correct. Two dice are thrown. Let $A$: "the first die shows an even number", $B$: "the second die shows an odd number" and $C$: "the sum is odd". Which statements are true? (A) $A$ and $B$ are mutually exclusive (B) $A\cap B\subset C$ (C) $C=(A\cap B)\cup(A'\cap B')$ (D) $n(A\cup B)=27$
Research question. What really can happen in one turn of a game you play — and are the "obvious" outcomes really the right sample space?
Why it matters. Game designers, quiz-app makers and lottery regulators must list every possible outcome before they can promise that a game is fair. Engineers do the same for a machine ("each of three components works or fails") and doctors for a diagnostic test ("positive or negative, with or without the disease"). A forgotten or double-counted outcome makes every later calculation wrong.
What to do.
- Choose a game with a random step: two dice in a board game, a Ludo throw, three coins, a spinner, or drawing two cards. Write its sample space carefully, as ordered outcomes, and give $n(S)$ (use the multiplication principle if listing is long).
- Write four events that matter in the game (for example "a doublet", "the sum is at least $10$", "a six on either die"), as sets. Mark their types and find one pair that is mutually exclusive and one collection that is exhaustive.
- Write a second, "coarser" sample space that records less (for two dice, just the sum $2,\dots,12$). Explain which outcomes of the first space make up each point of the second.
- Play $100$ turns (or pool results with classmates) and tally how often each point of the coarse space occurs. Compare with the number of fine outcomes behind it.
- Write a paragraph: why is "the sum is $7$" so much more common than "the sum is $2$", even though both are single points of the coarse space?
Tools: Dice, coins or cards; a spreadsheet or tally sheet; squared paper for the outcome grid
Hand in: Both sample spaces, the four events with their types and relations, the tally table and your paragraph.
Going further. Some games use three dice. How many outcomes are there? How many of them give each sum from $3$ to $18$? (Section 14.2 turns these counts into probabilities.)
🧪 Self-check quiz
Q1. A coin is tossed and two dice are thrown. The number of sample points is
Q2. Two dice are thrown. The event "the sum is $13$" is
Q3. A die is thrown, $A=\{1,2\}$ and $B=\{2,3,4\}$. The event "$A$ but not $B$" is
Q4. For one throw of a die, which pair of events is mutually exclusive but not exhaustive?
Q5. The complement of the event "neither $A$ nor $B$" is