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Probability Probability is a numerical value given to the chance that a certain event will occur. number of favourabl e outcomes Probability that an event occurs = total number of outcomes Definitions (i) (ii) (iii) (i) An experiment is any process by which data is obtained. The results of an experiment are called outcomes. A set of all possible outcomes that may occur in a particular experiment is called a sample space, usually denoted by S. For example, (a) when a coin is tossed: S = {H, T} (b) when two coins are tossed: S = {HT, TH, HH, TT}. (c) When three coins are tossed: S = {HHH, HHT, HTH, THH, TTH, THT, HTT, TTT} (d) when a die is thrown: S = {1, 2, 3, 4, 5, 6}, e.t.c. An event is a set consisting of possible outcomes of an experiment with desired qualities. It is a subset of a sample space. Review of terms used in set theory. 1. Intersection of events. Consider two events A and B of the sample space S, the intersection of these two events is a set given by E = AB, i.e. containing sample points common to both A and B. 2. Union of events, denoted by AB, is the set of all sample points in either A or B or both. 3. Compliment of an event. If A is an event of a sample space S, the compliment of A, denoted by A, is given by the set containing all sample points in S that are not in A. 4. Mutually exclusive events If two events A and B are mutually exclusive, then they cannot occur at the same time. In other words AB =. For example, selecting ‘an even number’ or selecting a ‘one’ from a set of numbers; In tossing a coin, the events ‘Head’ and ‘Tails’ are mutually exclusive. If you get a ‘Head’, you cannot get a ‘Tail’ in the same toss. If a trial (experiment) has a set of equally likely possible outcomes S, then the probability of the event E occurring is given by

Probability<br />

Probability is a numerical value given to the chance that a certain event will occur.<br />

number of favourabl e outcomes<br />

Probability that an event occurs =<br />

total number of outcomes<br />

Definitions<br />

(i)<br />

(ii)<br />

(iii)<br />

(i)<br />

An experiment is any process by which data is obtained.<br />

The results of an experiment are called outcomes.<br />

A set of all possible outcomes that may occur in a particular experiment is called<br />

a sample space, usually denoted by S. For example,<br />

(a) when a coin is tossed: S = {H, T}<br />

(b) when two coins are tossed: S = {HT, TH, HH, TT}.<br />

(c) When three coins are tossed:<br />

S = {HHH, HHT, HTH, THH, TTH, THT, HTT, TTT}<br />

(d) when a die is thrown: S = {1, 2, 3, 4, 5, 6}, e.t.c.<br />

An event is a set consisting of possible outcomes of an experiment with desired<br />

qualities. It is a subset of a sample space.<br />

Review of terms used in set theory.<br />

1. Intersection of events.<br />

Consider two events A and B of the sample space S, the intersection of these two<br />

events is a set given by E = AB, i.e. containing sample points common to both A<br />

and B.<br />

2. Union of events, denoted by AB, is the set of all sample points in either A or B<br />

or both.<br />

3. Compliment of an event.<br />

If A is an event of a sample space S, the compliment of A, denoted by A, is<br />

given by the set containing all sample points in S that are not in A.<br />

4. Mutually exclusive events<br />

If two events A and B are mutually exclusive, then they cannot occur at the same time.<br />

In other words AB =. For example, selecting ‘an even number’ or selecting a ‘one’<br />

from a set of numbers; In tossing a coin, the events ‘Head’ and ‘Tails’ are mutually<br />

exclusive. If you get a ‘Head’, you cannot get a ‘Tail’ in the same toss.<br />

If a trial (experiment) has a set of equally likely possible outcomes S, then the probability<br />

of the event E occurring is given by


( E)<br />

P (E) =<br />

( S)<br />

Independent events<br />

Two events are independent if the occurrence of one event is unaffected by the<br />

occurrence of the other. E.g. Obtaining a ‘head’ on one coin, and a ‘tail’ on the other<br />

coin when the coins are tossed at the same time.<br />

Venn diagrams<br />

Probabilities can be illustrated on a Venn diagram. The rectangle represents the entire<br />

sample space, and the circle represents the event A, as shown below.<br />

A<br />

When dealing with events, the words and and or are sometimes replaced by the<br />

symbols and respectively. The event of A not happening is sometimes<br />

written as A .<br />

Combinations of probabilities can be shown on a Venn diagram, as follows.<br />

A and B, i.e. AB. This is the overlap of the regions corresponding to A and B as shown<br />

in the figure below.<br />

A or B i.e. AB is the region of points in either the A region or the B region (or both).<br />

Note that the word or is inclusive. ‘A or B’ means ‘A or B or both’, as shown below.


Basic rules of probability<br />

The following are some of the most basic rules of probability.<br />

1. Probabilities are real numbers on the interval from 0 to 1. i.e. 0<br />

P ( E)<br />

1<br />

for any<br />

event E.<br />

2. If an event is certain to occur, its probability is 1, and if an event is certain not to<br />

occur, its probability is 0.<br />

3. If A and B are any two events, then<br />

P(A or B) = P(A) + P(B) – P(A and B).<br />

4 If two events are mutually exclusive, the probability that one or the other will occur<br />

equals the sum of their probabilities<br />

i.e. P (A or B) = P (A) + P (B). This is the addition law for mutually exclusive<br />

events. It is also known as the ‘or rule’<br />

5. The sum of the probabilities that an event will occur and that it will not occur is<br />

equal to 1. i.e. P (A) + P (A) = 1 for any event A,<br />

or P (A) = 1 – P (A).<br />

6. If A and B are independent events then<br />

P(A and B) = P(A) × P(B)<br />

This is the multiplication law for independent events. It is also known as the<br />

‘and rule’<br />

In questions on probability, when the following terms are used, great care must be<br />

taken. To understand the terms we take, for example a family of 4 children, where B<br />

represents a boy and G represents a girl.<br />

(i) at least<br />

‘at least two are boys, B ≥ 2. Therefore, B can take values 2, 3 or 4.<br />

(ii) ‘at most’<br />

‘at most two are boys’, i.e. B 2. Therefore, B can take values 2, 1 or 0.<br />

(iii) Not more than<br />

‘Not more than two boys’ and ‘at most two boys’ mean the same.<br />

(iv) Not less than<br />

‘not less than two boys ‘ and ‘at least two boys’ mean the same.<br />

(v) More than


‘more than two boys’, i.e. B > 2. Therefore B can take values 3 or 4.<br />

(vi) Less than<br />

‘less than two boys’, i.e. B < 2. Therefore, B can take values 0 or 1.<br />

Example<br />

The numbers 1 to 20 are each written on a card. The 20 cards are mixed together. One<br />

card is chosen at random from the pack. Find the probability that the number on the card<br />

is:<br />

(a) even (b) a factor of 24<br />

(c) prime.<br />

Solution<br />

We will use ‘P(x)’ to mean ‘the probability of x’. Let S be the sample space such that S =<br />

{1, 2, 3, 4, 5, 6, 7, 8, ……, 20}<br />

number of even numbers 10 1<br />

(a) P(even) =<br />

= =<br />

total number of numbers in the pack 20 2<br />

number of actors f of 24<br />

(b) P(a factor of 24) =<br />

total number of numbers in the pack<br />

The factors of 24 are: F24 = {1, 2, 3, 4, 6, 8 12, 24}.<br />

∩F ( )<br />

24<br />

= 8<br />

8 2<br />

Therefore, P(a factor of 24) = = 20 5<br />

(c) Prime numbers in the pack = {2, 3, 5, 7, 11, 13, 17, 19 }<br />

number of prime numbers in the pack 8 2<br />

P(prime) =<br />

= = .<br />

total number of numbers in the pack 20 5<br />

Example<br />

A black die and a white die are thrown at the same time. Display all the possible<br />

outcomes. Find the probability of obtaining:<br />

(a) a total of 5,<br />

(b) a total of 11,<br />

(c) a‘two’ on the black die and a ‘six’ on the white die.<br />

Solution<br />

It is convenient to display all the possible outcomes on a grid. There are 36 possible<br />

outcomes, shown here below.<br />

Number on<br />

black die<br />

Number on white die<br />

1 2 3 4 5 6<br />

1 (1,1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6)<br />

2 (2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6)<br />

3 (3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6)<br />

4 (4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6)


5 (5, 1) (5, 2) (5, 3) (5, 4) (5, 5) (5, 6)<br />

6 (6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)<br />

(a) There are four ways of obtaining a total of 5 on the two dice. These are:<br />

(1, 4), (4, 1), (2, 3) and (3,2)<br />

Probability of obtaining a total of 5 = 36<br />

4 = 9<br />

1 .<br />

(b) There are two ways of obtaining a total of 11.<br />

P(total of 11) = 36<br />

2 = 18<br />

1<br />

(c) There is only one way of obtaining a ‘two’ on the black die and a ‘six’ on the white<br />

die.<br />

Therefore, P(a two on black and a 6 on white = 36<br />

1<br />

Example<br />

A fair coin is tossed and a fair die is rolled. Find the probability of obtaining a<br />

‘head’ and a ‘six’.<br />

Solution<br />

When a coin is tossed once, the sample space is: S = {H, T}<br />

Where H denotes a ‘head’ and T a ‘tail’. So P(H) = P(T) = ½.<br />

Similarly the sample space when a die is tossed once is: S = {1, 2, 3, 4, 5, 6}<br />

P(six) = 6<br />

1<br />

The two events are independent.<br />

1 1 1<br />

Therefore, P(head and six) = × = .<br />

2 6 12<br />

Exercise<br />

In this exercise, all dice are normal cubic dice with faces numbered 1 to 6.<br />

1. A fair die is thrown once. Find the probability of obtaining:<br />

(a) a six,<br />

(b) an even number,<br />

(c) a number greater than 3,<br />

(d) a three or a five.<br />

2. The two sides of a coin are known as ‘head’ and ‘tail’. Two coins are tossed at the<br />

same time. List all the possible outcomes. Find the probability of obtaining<br />

(a) two heads, (b) a head and a tail.<br />

3. A bag contains 6 red balls and 4 green balls.<br />

(a) Find the probability of selecting at random:<br />

(i) a red ball (ii) a green ball.<br />

(b) One red ball is removed from the bag. Find the new probability of selecting at<br />

random:


(i) a red ball (ii) a green ball.<br />

4. One letter is selected at random from the word ‘UNNECESSARY’. Find the<br />

probability of selecting:<br />

(a) an R (b) an E (c) an O<br />

5. Three coins are tossed at the same time. List all the possible outcomes. Find the<br />

probability of obtaining:<br />

(a) three heads,<br />

(b) two heads and one tail,<br />

(c) no heads,<br />

(d) at least one head.<br />

6. A bag contains 10 red balls, 5 blue balls and 7 green balls. Find the probability of<br />

selecting at random:<br />

(a) a red ball,<br />

(b) a green ball,<br />

(c) a blue or a red ball,<br />

(d) a red or a green ball.<br />

7. A red die and a blue die are thrown at the same time. List all the possible outcomes<br />

in a systematic way. Find the probability of obtaining:<br />

(a) a total of 10.<br />

(b) a total of 12.<br />

(c) a total less than 6.<br />

(d) the same number on both dice.<br />

(e) a total more than 9.<br />

8. A die is thrown; when the result has been recorded, the die is thrown a second time.<br />

Display all the possible outcomes of the two throws. Find the probability of<br />

obtaining:<br />

(a) a total of 4 from the two throws.<br />

(b) a total of 8 from the two throws,<br />

(c) a total between 5 and 9 inclusive from the two throws,<br />

(d) a number on the second throw which is four times the number on the first<br />

throw.<br />

9. One ball is selected at random from a bag containing 12 balls of which x<br />

are white.<br />

(a) What is the probability of selecting a white ball?<br />

When a further 6 white balls are added the probability of selecting a white<br />

ball is doubled.<br />

(a) Find x.<br />

10. A coin is tossed and a die is thrown. Write down the probability of obtaining:<br />

(a) a head on the coin,<br />

(b) an odd number on the die,<br />

(c) a ‘head’ on the coin and an odd number on the die.<br />

11. A ball is selected from a bag containing 3 red balls, 4 black balls and 5 green balls.<br />

The first ball is replaced and a second is selected. Find the probability of obtaining


(a) two red balls, (b) two green balls.<br />

12. The letters of the word ‘INDEPENDENT’ are written on individual cards and the<br />

cards are put into a box. A card is selected at random and then replaced and then a<br />

second card is selected. Find the probability of obtaining:<br />

(a) the letter ‘P’ twice,<br />

(b) the letter ‘E’ twice.<br />

13. The table below shows the number of children in 40 randomly chosen families.<br />

No. of children (x) 0 1 2 3 4 5 Over 5 Total<br />

No. of families (f) 6 8 12 5 3 6 0 40<br />

State the probability that a family chosen at random has:<br />

(a) more than 2 children,<br />

(b) an odd number of children,<br />

(c) P(2 ≤ x < 4).<br />

14 Two tetrahedral dice (4 sided), each with faces labeled 1, 2, 3 and 4 are thrown.<br />

The score is the sum of the two numbers on which the dice land. Find the possibility<br />

space and the probability of each element of the space.<br />

15. Two dice (6 sided), each with faces labeled 1, 2, 3, 4, 5, 6 are thrown. The score is<br />

the difference of the numbers showing on the top faces on two dice. For example,<br />

(5, 2) would score 3, as would (2, 5). Find the possibility space and the probability<br />

of each score.<br />

TREE DIAGRAMS<br />

These are used to:<br />

(i)<br />

(ii)<br />

Example<br />

generate a sample space,<br />

solve certain probability problems.<br />

A bag contains 5 red balls and 3 green balls. A ball is drawn at random and then<br />

replaced. Another ball is drawn. What is the probability that both balls are green?<br />

Solution<br />

r<br />

r<br />

g<br />

g<br />

r<br />

g<br />

*<br />

The branch marked involves the selection of a green ball twice. The probability of this<br />

event is obtained by simply multiplying the fractions on the two branches.


3 3 9<br />

Therefore, P (two green balls) = .<br />

8 8 64<br />

Rules:<br />

(1) When the required outcome is given by a path along the branches of a probability<br />

tree, multiply the probabilities along that path.<br />

(2) When the required outcome is given by more than one path in a probability tree,<br />

add the probabilities resulting from each path.<br />

Example<br />

A bag contains 5 red balls and 3 green balls. A ball is selected at random and not<br />

replaced. A second ball is then selected. Find the probability of selecting:<br />

(a) two green balls<br />

(b) one red ball and one green ball.<br />

3 2 3<br />

(a) P (two green balls) = .<br />

8 7 28<br />

5 3 3 5 15<br />

(b) P (one red, one green) = .<br />

8 7 8 7 28<br />

Example<br />

One ball is selected at random from a bag containing 5 red balls, 2 yellow balls and 4<br />

white balls. Find the probability of selecting a red ball or white ball.<br />

Solution<br />

The two events are exclusive.<br />

P (red ball or white ball) = P (red) + P (white)<br />

5 4 9<br />

= = .<br />

11 11 11<br />

Example<br />

A coin is biased so that it shows ‘heads’ with a probability of 3<br />

2 . The same coin is tossed<br />

three times. Find the probability of obtaining:


(a) two tails on the first two tosses. Ans.<br />

9<br />

1<br />

(b) a head, a tail and a head (in that order) Ans.<br />

27<br />

4<br />

(c) two heads and on tail (in any order). Ans.<br />

9<br />

4<br />

Exercise<br />

1. A bag contains 5 red balls, 3 blue balls and 2 yellow balls. A ball is drawn and not<br />

replaced. A second ball is drawn. Find the probability of drawing<br />

(a) two red balls<br />

(b) one blue ball and one yellow ball,<br />

(c) two yellow balls,<br />

(d) two balls of the same colour.<br />

2 2 1<br />

ANSWERS: (a) ; (b)15 ; (c)<br />

9 45<br />

14 ; (d)<br />

45<br />

2. A six sided die is thrown three times. Draw a tree diagram, showing at each<br />

branch the two events: ‘six’ and ‘not six’. What is the probability of throwing a<br />

total of<br />

(a) three sixes<br />

(b) no sixes<br />

(c) one six<br />

(d) at least one six.<br />

1 125 25 91<br />

ANSWERS: (a) ; (b) ; (c) ; (d) .<br />

216 216 72 216<br />

3. A die has its faces marked 0, 1, 1, 1, 6, and 6. Two of these dice are thrown<br />

together and the total score is recorded. Draw a tree diagram.<br />

(a) How many different totals are possible?<br />

(b) What is the probability of obtaining a total of 7?<br />

1<br />

ANSWERS: (a) 6; (b) 3<br />

4. A coin and a die are tossed. All the possible outcomes are shown in the table<br />

coi<br />

n<br />

die<br />

1 2 3 4 5 6<br />

H H1 H2 H3 H4 H5 H6


T T1 T2 T3 T4 T5 T6<br />

Find:<br />

(a) P(a tail and even number) (b) P(head)<br />

(c) P(1, 2 or 3) (d) P(head and 6)<br />

(e) P(head or 6).<br />

5. Two coins are tossed. Represent the possible outcomes on a probability tree and<br />

find the probability that<br />

(a) both are heads<br />

(b) only one is a head<br />

(c) neither is a head.<br />

6. There are 4 red and 6 yellow counters in a box. One is picked out and replaced,<br />

then a second is picked. Draw a probability tree to show all the possible<br />

outcomes and use it to find<br />

(a) P(red)<br />

(b) P(2 yellow)<br />

(c) P(1 red, 1 yellow).<br />

7. The probability that it will rain in a certain part of the country on any one day is 7<br />

2 .<br />

Use a probability tree to find the probability that out of any two days<br />

(a) both will be dry<br />

(b) only one will be dry<br />

(c) it will rain on both days.<br />

8. A fair, six-sided die is thrown three times. Find<br />

(a) P(three sixes)<br />

(b) P(two sixes)<br />

(c) P(one six)<br />

(d) P(no sixes)<br />

(e) P(at least two sixes)<br />

(f) P(at least one six)<br />

9. A fair, six-sided die is thrown. If event S is throwing a 6 and event N is throwing<br />

another number, draw a probability tree to show the possible outcomes of<br />

throwing the die twice. Find<br />

(a) P(two sixes) (b) P(one six)<br />

(c) P(no sixes)<br />

10. If two dice are thrown together, find the probability that:<br />

(a) they show the same number,<br />

(b) they show different numbers,<br />

(c) the sum of their numbers is 5.<br />

11. Anne plays two games of table tennis against Betty. If the probability of Anne<br />

beating Betty in any one game of table tennis is 5<br />

4 , what is the probability of<br />

Betty:<br />

(a) winning both games,


(b) winning the first game and losing the second one,<br />

(c) winning one of the two games.<br />

12. In a super market, it was found that out of 100 apples in a box, 10 were bad and<br />

could not be sold. Three apple are picked at random from the box (replacing the<br />

previous one each time). What is the probability that:<br />

(a) all the three are good,<br />

(b) none of them is good,<br />

(c) 2 or 3 are bad.<br />

13. If two dice are thrown together and their scores recorded as ordered pairs (1, 1),<br />

(1, 2), e.t.c, construct a table to show all the possible outcomes. Find the<br />

probability that they show:<br />

(a) the same number,<br />

(b) different numbers,<br />

(c) 2 as one of the numbers.<br />

14. A bag contains red beads, blue beads and green beads. The probability that a<br />

bead drawn at random from the bag will be red is 5<br />

3 and that it will be blue is 10<br />

3 .<br />

What will be the probability that it will be green?<br />

If the bag contains a total of 100 beads, determine the number of beads of each<br />

colour.<br />

15. What is the set of possible outcomes if a shilling coin and a die are tossed<br />

together? Calculate the probability of a head and a number greater than 3 turning<br />

up.<br />

16. What is the probability of getting two tails in three throws of a coin?<br />

If the first throw shows a head, what is the probability then?<br />

17. In a class of 30 students, 18 are boys and 12 are girls. A teacher chooses three<br />

students at random. Find the probability that:<br />

(a) all three students are girls,<br />

(b) at least one of the three students is a boy?<br />

18. In a shooting practice, two soldiers Ali and Ben fire shots alternatively at a target.<br />

Ali fires first. The probabilities of Ali and Ben hitting the target with any shot are 3<br />

1<br />

and 5<br />

2 respectively. Using a tree diagram, or otherwise, find the probability that:<br />

(a)<br />

(b)<br />

(c)<br />

they will both miss the target with their first shot,<br />

Ben, in his second round, will be the first to hit the target,<br />

Ben will hit the target at least once with his first three shots.<br />

19. A family of three children can be represented by BGB, where B, G and B<br />

represents boy first, followed by a girl, followed by another boy. Write down all<br />

the eight possible codes fro a family of three children.<br />

Taking P(B) = P(G) = ½, find the probability that a family of three children will<br />

contain:<br />

(a) all three boys,


(b)<br />

(c)<br />

at least one girl,<br />

at most one boy.<br />

20. A bag consists of beads of which 5 are red, 7 are blue and 8 are yellow. Three<br />

beads are to be taken, at random. Calculate the probability that the beads will be:<br />

(a) all yellow,<br />

(b)<br />

(c)<br />

(d)<br />

all three of the same colour<br />

all three of different colour,<br />

all three are not of the same colour.

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