Events
Category : 10th Class
The subset E of a sample space is called events. There are different types of events which is defined below:
Impossible Events
The events which will never occur is called impossible events. The empty set is also called impossible events.
Throwing a dice and getting 7 is an impossible events
Sure Events
The events which will definitely occur is called sure events.
Throwing a dice and getting 1, 2, 3, 4, 5, or 6 is a sure event
Simple Events
The events having only one points of the sample space is called simple events. For example, in the experiment of tossing two coins, a sample space is S = {HH, HT, TH, TT}. There are four simple events in this sample space.
Compound Events
The events having more than one sample points is called compound events. For example, in the experiment of tossing a coin thrice, the events of getting exactly one head, getting at least one head, at most one head are the compound events. {HTT, THT, TTH,}, {HTT, THT, TTH, HHT, HTH, THH, HHH}, {HTT, TTH, TTT}
Complementary Events
For a event A, the event corresponding to the set of elements excluding the elements of the set A is called complementary events. It is denoted by A" or A7.
Mutually Exclusive Events
Two events A and B are said to be mutually exclusive if the occurrence of any one of them excludes the occurrence of the other events or we can say that they cannot occur simultaneously and are considered to be disjoint sets. For example, A = {HTT, THT, TTH, TTT} and B = {HHT, THH, HTH, HHH} are disjoint sets.
Exhaustive Events
The set of events \[{{E}_{1}},{{E}_{2}},{{E}_{3}}----{{E}_{n}}\] is said to be exhaustive if the sample space is equal to \[S=\bigcup\limits_{k=1}^{n}{{{E}_{k}}}.\]
For example. If A = {HTT, THT, TTH, TTT} and B = {HHT, THH, HTH, HHH}, then \[A\cup B\] = {HHT, THH, HTH, HHH, HTT, THT, TTH, TTT}, which is the entire sample space for three toss of a coin.
Event 'A or B'
Two events A or B is equivalent to the union of the two events. A or B = \[A\cup B\]
Event 'A and B'
Two events A and B is equivalent to the intersection of the two events. A and B = \[A\cap B\]
Event' A but not B':
Two events A but not B is denoted as the difference of A and B' denoted by A but not B =\[A\cap {{B}^{/}}\]=A-B
Probability of Events
For any two events A and B, the probability of union of the two sets is given by:
\[P\left( A\cup B \right)=P\left( A \right)+P\left( B \right)-P\left( A\cap B \right)\]
If A and B are disjoints then \[A\cap B=\phi \], then
\[P\left( A\cup B \right)=P\left( A \right)+P\left( B \right)\]
If A and B are independent then,
\[P\left( A\cap B \right)=P\left( A \right)\times P\left( B \right)\]
Thus, \[P\left( A\cup B \right)=P\left( A \right)+P\left( B \right)-P\left( A \right)\times P\left( B \right)\]
Probability of Event 'not A'
\[P\left( not \right)=1-P\left( A \right)\]
Probability (A but not B)
\[P\left( A\,but\,notB \right)=P\left( A\cap {{B}^{/}} \right)=P\left( A \right)-P\left( A\cap B \right)\]
Probability Neither A nor B
\[\begin{align} & P\left( neither\,A\,nor\,B \right)=P\left( {{A}^{/}}\cap {{B}^{/}} \right)=P{{\left( A\cup B \right)}^{/}} \\ & =1-P\left( A\cup B \right) \\ \end{align}\]
Thomas has 9 ball in his bag of which 4 are green, 3 are blue and 2 are yellow. The ball are similar in shape and size. A ball is drawn at a random from the bag and is found to be either green or blue. Find the probability of the events to occur.
(a) \[\frac{7}{9}\]
(b) \[\frac{4}{9}\]
(c) \[\frac{3}{9}\]
(d) \[\frac{5}{9}\]
(e) None of these
Answer: (a)
Explanation
Let the event of green ball = G and that of the blue ball = B
Then the event either green or blue is defined as the = G or B
Since the events of green or blue ball is mutually exclusive, therefore, P(G or B) = P (GUB) = P (G) \[=\frac{4}{9}+\frac{3}{9}=\frac{7}{9}\]
Two students James and Harry appears in an examination. The probability that James will qualify the examination is 0.05 and that Harry will qualify the examination is 0.10. The probability that both will qualify the examination is 0.02. The probability only one of them will qualify the examination is:
(a) \[\frac{63}{100}\]
(b) \[\frac{87}{100}\]
(c) \[\frac{49}{50}\]
(d) \[\frac{11}{100}\]
(e) None of these
Answer: (d)
Explanation
Let the event that James will qualify = A
The event that Harry will qualify = B
Then the probability that only one of them will qualify the examination is given by
\[P\left( A\cap {{B}^{/}} \right)+P\left( {{A}^{/}}\cap B \right)\]
\[=P\left( A \right)-P\left( A\cap B \right)+P\left( B \right)-P\left( A\cap B \right)\]
\[=0.05-0.02+0.10-0.02\]
\[=0.11=\frac{11}{100}\]
A board has to select two individuals for two different posts in the board of directors. There were two men and two women candidate for the post. Find the probability that no men is selected for the required post.
(a) \[\frac{1}{3}\]
(b) \[\frac{1}{6}\]
(c) \[\frac{2}{3}\]
(d) \[\frac{5}{6}\]
(e) None of these
Answer: (b)
Explanation
Let the event of selecting the men = M
The event of selecting women = F
There are total four individuals for the said post and two are required to be selected. Thus the total number of ways in which two person out of four person can be selected is given by \[^{4}{{C}_{2}}\] ways
Since no men is to be selected for the post, so both should be the women.
Thus selection of two women can be done in \[^{2}{{C}_{2}}=1\] ways.
Therefore required probability \[=\left( nomen \right)=\frac{^{2}{{C}_{2}}}{^{4}{{C}_{2}}}=\frac{1\times 2\times 1}{4\times 3}=\frac{1}{6}\]
In a school the students of class XIIth, of which 40% like English, 30% like Humanity, 10% like both English and Humanity. If one of the student is selected at a random, the probability that he or she like neither English nor Humanity is___.
(a) 0.6
(b) 0.8
(c) 0.4
(d) 0.2
(e) None of these
Answer: (c)
In a company there are 100 employee working in two different departments of the company. They are in a group of 60 and 40 employes in the different departments. There are two friends working in the same company in the same post, find the probability that both of them are working in the different departments.
(a) \[\frac{16}{33}\]
(b) \[\frac{17}{33}\]
(c) \[\frac{18}{33}\]
(d) \[\frac{19}{33}\]
(e) None of these
Answer: (a)
Sample Space for the Throw of Pair of dice
When two dice are thrown then the sample space is { (1,1), (1,2) (13) (14) (15) (1,6), (2,1), (2,2), (2,3), (2,4), (2,5), (2,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6); (4;!); (4,2), (4,3), (4,4), (4,5), (4,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)}.
Drawing a Card from a Well - Shuffled of 52 Cards
We know that there are 52 cards in pack of card. It has four types, which is Spade, Club, Heart and Diamond. All are equally divided. It means that 13.spades, 13 clubs, 13 hearts and 13 diamonds. In 52 cards, 26 red card and 26 black card.'
Face Cards
Kings, queens and jack are called face cards, the total number of face cards is 12: In which 6 is Red face cards and 6 is black face cards.
Equally Likely Events
A given number of events are said to be equally likely if none of them is expected to occur in preference to the others.
Probability of Occurrence of an Event
Let event is denoted by E, the probability of occurrence is the ratio of favourrable outcomes to the total possible outcomes of the sample space. Mathematically, if number of favourable outcomes be denoted by n (a) and total number of possible out comes be denoted by n(S) then, \[P\left( E \right)=\frac{P\left( A \right)}{P\left( S \right)}\].
Sure Event
The event which will definitely occur is called sure events.
In a single throw of dice, what will be the probability of getting a number which is less than 7?
Solution:
Sample space = {1, 2, 3, 4, 5, 6}
\[\therefore \,\,n(E)=6\]
\[\therefore \,\,p(E)=\frac{n\left( E \right)}{n\left( S \right)}=\frac{6}{6}=1\]. S o, it is sure event.
Impossible Event
Impossible event is the event whose probability is 0 (zero).
On tossing a coin, the probability of getting 1?
Solution:
We know that when a coin is tossed then only head or tail will comes up. Hence the probability of occurrence of one is not there, therefore probability is zero.
NOTE: From above calculation we can say that probability of any event is\[0\le P\left( E \right)\le 1\]. It means that maximum probability = 1, and minimum probability =0. Also, probability can never be negative or greater than one.
Complementary event
Let E be an event, then e' (not E) is called complementary event.
\[\therefore \,\,P\left( E' \right)+P\left( E \right)=1\]
\[P\left( E' \right)=1-P\left( E \right)\]
The Probability that it will rain today is 0.84. What is the probability that it will not rain today?
(a) 0.12
(b) 0.1
(c) 0.3
(d) 0.4
(e) None of these
Answer: (e)
P(E) = 0.84,
we know that P(E') + P(e) = 1
\[\Rightarrow \,0.84+P\left( E' \right)+P\left( E \right)=1\]
\[\Rightarrow \,\left( E' \right)=1-0.84=0.16\]
What is the probability that an ordinary year will have 53 Sunday?
(a) \[\frac{1}{2}\]
(b) \[\frac{1}{3}\]
(c) \[\frac{1}{4}\]
(d) \[\frac{1}{7}\]
(e) None of these
Answer: (d)
An ordinary year has 365 days, i.e., 52 week and 1 day,
The probability that this day will be Sunday \[=\frac{1}{7}\]
What is the probability of a sure event?
(a) \[\frac{1}{2}\]
(b) 0
(c) 1
(d) \[\frac{3}{2}\]
(e) None of these
Answer: (c)
The probability of a sure event is 1.
What is the probability of an impossible event?
(a) 0
(b) 1
(c) \[\frac{1}{2}\]
(d) \[\frac{2}{1}\]
(e) None of these
Answer: (a)
The probability of an impossible event is 0.
One card is drawn from a well shuffled deck of 52 cards. What is the probability of getting a black face card?
(a) \[\frac{1}{26}\]
(b) \[\frac{3}{14}\]
(c) \[\frac{3}{26}\]
(d) \[\frac{3}{13}\]
(e) None of these
Answer: (c)
Number of black face card = (2 king + 2 queen + 2 jack) = 6.
\[\therefore \,\,\,\,P\left( E \right)=\frac{6}{52}=\frac{3}{26}\]
There are 20 tickets numbered from 1, 2, 3, ?, 20 respectively. One ticket is drawn at random, what is the probability that the number on the ticket is a multiple of 3 or 5?
(a) \[\frac{1}{4}\]
(b) \[\frac{9}{20}\]
(c) \[\frac{2}{5}\]
(d) \[\frac{4}{10}\]
(e) None of these
Answer: (b)
Number of all possible number's = 20
Number of multiples of 5 are A = 5, 10, 15, 20
Number of multiples of 3 are B = 3, 6, 9,12,15,18
Number of multiples of both 3 and 5 are \[A\cap B\] = 15
\[P\left( A \right)=\frac{4}{20},P\left( B \right)=\frac{6}{20}and\,P\left( A\cap B \right)=\frac{1}{20}\]
Now, \[P\left( A\cap B \right)=P\left( A \right)+P\left( B \right)-P\left( A\cap B \right)\]
\[=\frac{4}{20}+\frac{6}{20}-\frac{1}{20}\]
\[=\frac{9}{20}\]
\[\therefore \,\,P\left( E \right)=\frac{9}{20}\]
A bag contains 8 red balls, 2 black balls and 5 white balls. One ball is drawn at random from the bag, what is the probability that the ball drawn is not black?
(a) \[\frac{2}{15}\]
(b) \[\frac{13}{15}\]
(c) \[\frac{8}{15}\]
(d) \[\frac{1}{3}\]
(e) None of these
Answer: (b)
Total number of balls = 15
Number of non-black balls = 13
\[\therefore \,\,P\left( E \right)=\frac{13}{15}\]
A bag contains 3 white marbles, 4 red marbles, and 5 black marbles. One marble is drawn at random from the bag, what is the probability that the marble drawn is neither black nor white?
(a) \[\frac{1}{4}\]
(b) \[\frac{1}{2}\]
(c) \[\frac{1}{3}\]
(d) \[\frac{3}{4}\]
(e) None of these
Answer: (c)
Total number of marbles = 12
Number of favourable cases = 4
Required probability \[\frac{4}{12}=\frac{1}{3}\]
What is the probability that an ordinary year will have 53 Monday?
(a) \[\frac{2}{7}\]
(b) \[\frac{1}{7}\]
(c) \[\frac{7}{23}\]
(d) \[\frac{7}{52}\]
(e) None of these
Answer: (b)
An ordinary year has 365 days, i.e. 52 weeks and 1 day
This day can be any of 7 days of the week
\[\therefore \,\,P\left( E \right)=\frac{1}{7}\]
Thomas purchases 24 lottery tickets which contains 8 prizes. What is the probability of winning the prize?
(a) \[\frac{1}{2}\]
(b) \[\frac{1}{3}\]
(c) \[\frac{2}{3}\]
(d) \[\frac{4}{5}\]
(e) None of these
Answer: (b)
Total number of tickets = 24
Number of prizes = 8
\[\therefore \,\,\,P\left( E3 \right)=\frac{8}{24}=\frac{1}{3}\]
There are 25 cards numbered from 1 to 25. One card is drawn at random, what is the probability that the number on this card is not divisible by 4?
(a) \[\frac{4}{25}\]
(b) \[\frac{21}{25}\]
(c) \[\frac{6}{25}\]
(d) \[\frac{19}{25}\]
(e) None of these
Answer: (d)
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