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)

- If a class has 23 students in it then the probability that at least two of the students share a birthday is about 0.5. Surprised? If there are 50 students in a class then it's virtually certain that two will share the same birthday.
- Geologists can, calculate the probability of future earthquakes based on past activity.
- Great earthquakes that cause complete destruction near their epicenters occur once every 5 to 10 years (8.0-8.9).
- The largest earthquakes, such as the 1964 Good Friday quake in Alaska, will take place once or twice within a century (9.0 and up).

- The probability of an event is the ratio of total favourable outcome to the total possible outcome of the events.
- The set of all possible outcome of a random experiment is called sample space.
- Two events are mutually exclusive if \[A\cap B=\phi \].
- The sum of all probabilities of a sample space is always 1.
- The probability of a events cannot be negative and greater than 1.

*play_arrow*Introduction*play_arrow*Random Experiments*play_arrow*Events*play_arrow*Probability*play_arrow*Probability*play_arrow*Probability

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