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Showing posts with label Class 11 : Math. Show all posts
Showing posts with label Class 11 : Math. Show all posts

Monday, October 19, 2020

Class 11 : Sets : Formulas

 

Laws of Algebra of Sets

Idempotent Laws: For any set A, we have

  • A ∪ A = A
  • A ∩ A = A

Identity Laws: For any set A, we have

  • A ∪ Φ = A
  • A ∩ U = A

Commutative Laws: For any two sets A and B, we have

  • A ∪ B = B ∪ A
  • A ∩ B = B ∩ A

Associative Laws: For any three sets A, B and C, we have

  • A ∪ (B ∪ C) = (A ∪ B) ∪ C
  • A ∩ (B ∩ C) = (A ∩ B) ∩ C

Distributive Laws: If A, B and Care three sets, then

  • A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C)
  • A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C)

De-Morgan’s Laws: If A and B are two sets, then

  • (A ∪ B)’ = A’ ∩ B’
  • (A ∩ B)’ = A’ ∪ B’


Formulae to Solve Practical Problems on Union and Intersection Sets

Let A, B and C be any three finite sets, then

  • n(A ∪ B) = n(A) + n (B) – n(A ∩ B)
  • If (A ∩ B) = Φ, then n (A ∪ B) = n(A) + n(B)
  • n(A – B) = n(A) – n(A ∩ B)
  • n(A ∪ B ∪ C) = n(A) + n(B) + n(C) – n(A ∩ B) – n(B ∩ C) – n(A ∩ C) + n(A ∩ B ∩ C)

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Class 11 || Mathematics || Sets : Notes



Set : A set is a well-defined collection of objects.

Representation of Sets

There are two methods of representing a set

  • Roster or Tabular form In the roster form, we list all the members of the set within braces { } and separate by commas.
  • Set-builder form In the set-builder form, we list the property or properties satisfied by all the elements of the sets.


Types of Sets

  • Empty Sets: A set which does not contain any element is called an empty set or the void set or null set and it is denoted by {} or Φ.

  • Singleton Set: A set consists of a single element, is called a singleton set.

  • Finite and infinite Set: A set which consists of a finite number of elements, is called a finite set, otherwise the set is called an infinite set.

  • Equal Sets: Two sets A and 6 are said to be equal, if every element of A is also an element of B or vice-versa, i.e. two equal sets will have exactly the same element.

  • Equivalent Sets: Two finite sets A and 6 are said to be equal if the number of elements are equal, i.e. n(A) = n(B)

Subset

A set A is said to be a subset of set B if every element of set A belongs to set B. In symbols, we write
A ⊆ B, if x ∈ A ⇒ x ∈ B

Note:

  • Every set is o subset of itself.
  • The empty set is a subset of every set.
  • The total number of subsets of a finite set containing n elements is 2n.

Intervals as Subsets of R

Let a and b be two given real numbers such that a < b, then

  • an open interval denoted by (a, b) is the set of real numbers {x : a < x < b}.
  • a closed interval denoted by [a, b] is the set of real numbers {x : a ≤ x ≤ b}.
  • intervals closed at one end and open at the others are known as semi-open or semi-closed interval and denoted by (a, b] is the set of real numbers {x : a < x ≤ b} or [a, b) is the set of real numbers {x : a ≤ x < b}.

Power Set

The collection of all subsets of a set A is called the power set of A. It is denoted by P(A). If the number of elements in A i.e. n(A) = n, then the number of elements in P(A) = 2n.

Universal Set

A set that contains all sets in a given context is called the universal set.


Venn-Diagrams

Venn diagrams are the diagrams, which represent the relationship between sets. In Venn-diagrams the universal set U is represented by point within a rectangle and its subsets are represented by points in closed curves (usually circles) within the rectangle.


Operations of Sets

Union of sets: The union of two sets A and B, denoted by A ∪ B is the set of all those elements which are either in A or in B or in both A and B. Thus, A ∪ B = {x : x ∈ A or x ∈ B}.

Intersection of sets: The intersection of two sets A and B, denoted by A ∩ B, is the set of all elements which are common to both A and B.
Thus, A ∩ B = {x : x ∈ A and x ∈ B}

Disjoint sets: Two sets Aand Bare said to be disjoint, if A ∩ B = Φ.

Intersecting or Overlapping sets: Two sets A and B are said to be intersecting or overlapping if A ∩ B ≠ Φ

Difference of sets: For any sets A and B, their difference (A – B) is defined as a set of elements, which belong to A but not to B.
Thus, A – B = {x : x ∈ A and x ∉ B}
also, B – A = {x : x ∈ B and x ∉ A}

Complement of a set: Let U be the universal set and A is a subset of U. Then, the complement of A is the set of all elements of U which are not the element of A.
Thus, A’ = U – A = {x : x ∈ U and x ∉ A}

Some Properties of Complement of Sets

  • A ∪ A’ = ∪
  • A ∩ A’ = Φ
  • ∪’ = Φ
  • Φ’ = ∪
  • (A’)’ = A

Symmetric difference of two sets: For any set A and B, their symmetric difference (A – B) ∪ (B – A)
(A – B) ∪ (B – A) defined as set of elements which do not belong to both A and B.
It is denoted by A ∆ B.
Thus, A ∆ B = (A – B) ∪ (B – A) = {x : x ∉ A ∩ B}.


Laws of Algebra of Sets

Idempotent Laws: For any set A, we have

  • A ∪ A = A
  • A ∩ A = A

Identity Laws: For any set A, we have

  • A ∪ Φ = A
  • A ∩ U = A

Commutative Laws: For any two sets A and B, we have

  • A ∪ B = B ∪ A
  • A ∩ B = B ∩ A

Associative Laws: For any three sets A, B and C, we have

  • A ∪ (B ∪ C) = (A ∪ B) ∪ C
  • A ∩ (B ∩ C) = (A ∩ B) ∩ C

Distributive Laws: If A, B and Care three sets, then

  • A ∪ (B ∩ C) = (A ∪ B) ∩ (A ∪ C)
  • A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C)

De-Morgan’s Laws: If A and B are two sets, then

  • (A ∪ B)’ = A’ ∩ B’
  • (A ∩ B)’ = A’ ∪ B’


Formulae to Solve Practical Problems on Union and Intersection Sets

Let A, B and C be any three finite sets, then

  • n(A ∪ B) = n(A) + n (B) – n(A ∩ B)
  • If (A ∩ B) = Φ, then n (A ∪ B) = n(A) + n(B)
  • n(A – B) = n(A) – n(A ∩ B)
  • n(A ∪ B ∪ C) = n(A) + n(B) + n(C) – n(A ∩ B) – n(B ∩ C) – n(A ∩ C) + n(A ∩ B ∩ C)

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Class 11 : Sets : Notes


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Wednesday, September 9, 2020

Class 11 : Maths : Relations


The Cartesian product

The Cartesian product ≤ also known as the cross product) of two sets A and B, denoted by AxB ≤ in the same order) is the set of all ordered pairs ≤ x, y) such that x∈A and y∈B. What we mean by ordered pair is that the pair≤ a, b) is not the same the pair as ≤ b, a) unless a = b. It implies that AxB ≠ BxA in general. Also if A contains m elements and B contains n elements then AxB contains mxn elements.

Similarly we can define AxA = {≤ x, y); x∈A and y∈A}. We can also define cartesian product of more than two sets.

e.g.  A1x A2xA3 x . . . .x An = {≤ a1, a2, . . . , an): a1 ∈A1, a2 ∈ A2, . . . , an ∈ An}

Illustration -:

If A = {a, b, c} and B = {b, c, d} then evaluate
i). A∪ B, A∩ B, AB and BA
ii). AxB and BxA

Solution:

i) A∪B = {x: x∈A or x∈B}= {a, b, c, d}
A∩B = {x: x∈A and x∈B}= {b, c}
A-B = {x: x∈A and x ∉ B}= {a}
B-A = {x: x∈B and x∉B}= {d}

ii) AxB = {≤ x, y): x∈A and y∈B}
= {≤ a, b), ≤ a, c), ≤ a, d), ≤ b, b), ≤ b, c), ≤ b, d), ≤ c, b), ≤ c, c), ≤ c, d)}
BxA = {≤ x, y):  x∈B and y∈A}
= {≤ b, a), ≤ b, b), ≤ b, c),≤ c, a), ≤ c, b), ≤ c, c),≤ d, a), ≤ d, b), ≤ d, c)}

Note that AxB ≠ BxA.


Let A and B be two non-empty sets then every subset of A x B defines a relation from A to B and every relation from A to B is subset of A x B.

Let R ⊆ A x B and ≤ a, b) ∈ R. then we say that a is related to b by the relation R and write it as a R b. If ≤ a, b) ∉ R, we write it as a      b.

Example

Let A {1, 2, 3, 4, 5}, B = {1, 3}
We set a relation from A to B as: a R b iff a £ b; a ∈ A, b ∈ B. Then
R = {≤ 1, 1), ≤ 1, 3), ≤ 2, 3), ≤ 3, 3)}⊂AxB 

Domain and Range of a Relation:

Let R be a relation from A to B, that is, let R ⊆ A x B. Then

Domain R = {a: a ∈ A, ≤ a, b) ∈ R for some b ∈ B}

i.e. domain of R is the set of all the first elements of the ordered pairs which belong to R.

Also Range R = {b: b ∈ B, ≤ a, b) ∈ R for some a ∈ A},

i.e. range R is the set of all second elements of the ordered pairs which belong to R.

Thus Dom. R ⊆ A, Range R ⊆ B.

Total Number of Distinct Relations from A to B:

Suppose the set A has m elements and the set B has n elements. Then the product set A x B i.e. P ≤ A x B) will have 2mn elements. A x B has 2mn different subsets which are different relations from A to B.

Inverse Relation:

Let R ⊆ A x B be a relation from A to B. Then inverse relation R–1 ⊆ B x A is defined by

R–1 = {≤ b, a): ≤ a, b) ∈ R, a ∈ A, b ∈ B}. It is clear that

  • a R b ↔ b R–1 a
  • dom R–1 = range R and range R–1 = dom R
  • ≤ R–1)–1 = R

Example: Let A = {1, 2, 3, 4}, B = {a, b, c} and R = {≤ 1, a), ≤ 1, c), ≤ 2, a)}. Then
i) dom R = {1, 2}, range R = {a, c}
ii) R–1 = {≤ a, 1), ≤ c, 1), ≤ a, 2)}

Compositions of Relations:

Let R ⊆ A x B, S ⊆ B x C be two relations. Then compositions of the relations R and S denoted bySoR⊆AxCand is defined by ≤ a, c) ∈ ≤ S o R) iff $ b ∈ B such that ≤ a, b) ∈ R, ≤ b, c) ∈ S.

Example:

Let A = {1, 2, 3}, B = {a, b, c, d}, C = {a, b, g}
R ≤ ⊆ A x B) = {≤ 1, a), ≤ 1, c), ≤ 2, d)}
S ≤ ⊆ B x C) = {≤ a, a), ≤ a, g), ≤ c, b)}
Then S o R≤ ⊆ A x C) = {≤ 1, a), ≤ 1, g), ≤ 1, b)}
One should be careful in computing the relation R o S. Actually S o R starts with R and R o S starts with S. In general S o R ≠ R o S
Also ≤ S o R)–1 = R–1 o S–1, known as reversal rule

Relations in a Set:

Let R be a relation from A to B. If B = A, then R is said to be a relation in A. Thus relation in a set A is a subset of A x A.

Identity Relation:

R is an identity relation if ≤ a, b) ∈ R iff a = b, a ∈ A, b ∈ A. In other words, every element of A is related to only itself.

Universal Relation in a Set:

Let A be any set and R be the set A x A, then R is called the Universal Relation in A.

Void Relation in a Set:

ϕ is called Void Relation in a set.


Reflexive Relations:

R is a reflexive relation if ≤ a, a) ∈ R, ” a ∈ A. It should be noted if there is at least one element a ∈ A such that ≤ a, a) ∉ R, then R is not reflexive.

Example:     

Let A = {1, 2, 3, 4, 5}
R = {≤ 1, 1), ≤ 3, 2), ≤ 4, 2), ≤ 4, 4), ≤ 5, 2), ≤ 5, 5)} is not reflexive because 3 ∈ A and ≤ 3, 3) ∉ R.
R = {≤ 1, 1), ≤ 3, 2), ≤ 2, 2), ≤ 3, 3), ≤ 4, 1), ≤ 4, 4), ≤ 5, 5)} is reflexive since ≤ a, a) ∈ R, ” a ∈ A.

Symmetric Relations:

R is called a symmetric relation on A if ≤ x, y) ∈ R ⇒ ≤ y, x) ∈ R
That is, y R x whenever x R y.
It should be noted that R is symmetric iff R–1 = R
Let A = {1, 2, 3}, then R = {≤ 1, 1), ≤ 1, 3), ≤ 3, 1)} is symmetric.

Anti-symmetric Relations:

R is called a anti-symmetric relation if ≤ a, b) ∈ R  and  ≤ b, a) ∈ R ⇒ a = b
Thus, if a ≠ b then a may be related to b or b may be related to a, but never both.
Or, we have never both a R b and b R a except when a = b.

Example:

Let N be the set of natural numbers. A relation R ⊆ N x N is defined by
x R y iff x divides y ≤ i.e. x/y)
Then x R y, y R x ⇒ x divides y, y divides x ⇒ x = y

Transitive Relations:

R is called a transitive relation if ≤ a, b) ∈ R, ≤ b, c) ∈ R ⇒ ≤ a, c) ∈ R
In other words if a is related to b, b is related to c, then a is related to c.
Transitivity fails only when there exists a, b, c such that a R b, b R c but a     c.

Example:

Consider the set A = {1, 2, 3} and the relation
R1 = {≤ 1, 2), ≤ 1, 3)}
R2 = {≤ 1, 2)}
R3 = {≤ 1, 1)}
R4 = {≤ 1, 2), ≤ 2, 1), ≤ 1, 1)}
Then R1, R2 and R3 transitive while R4 is not transitive since in R4, ≤ 2, 1) ∈ R4, ≤ 1, 2) ∈ R4 but ≤ 2, 2) ∉ R4

Note:

It is interesting to note that every identity relation is reflexive but every reflexive relation need not be an identity relation. Also identity relation is reflexive, symmetric and transitive.


Equivalence Relation:

A relation R in a set A is called an equivalence relation if

  1. R is reflexive i.e., ≤ a, a) ∈ R, ” a ∈ A
  2. R is symmetric i.e., ≤ a, b) ∈ R ⇒ ≤ b, a) ∈ R
  3. R is transitive i.e., ≤ a, b), ≤ b, c) ∈ R ⇒ ≤ a, c) ∈R

The equivalence relation is usually denoted by the symbol ~.

Equivalence Classes of an Equivalence Relation: 

Let R be equivalence relation in A ≤ ≠ ϕ). Let a ∈ A.

Then the equivalence class of a denoted by [a] or {} is defined as the set of all those points of A which are related to a under the relation R. Thus [a] = {x : x ∈ A, x R a}

It is easy to see that

  1. b ∈ [a] ⇒ a ∈ [b]
  2. b ∈ [a] ⇒ [a] = [b]
  3. Two equivalence classes are either disjoint of identical.

as an example we consider a very important relation

x º y ≤ mod n) iff n divides ≤ x –y),  is fixed positive integer. Consider n = 5 then
[0] = {x : x º 0≤ mod 5)} = {5p : p ∈ z} = {0, ±5, ±10, ±15,….}
[1] = {x : x º 1≤ mod 5)} = {x : x –1 = 5k, k ∈ z} = {5k + 1: k ∈ z} = {1, 6, 11, …., –4, –9,….}
one can easily see that there are only 5 distinct equivalence classes viz. [0], [1], [2], [3] and [4] when n = 5.

Illustration -:

N is the set of natural numbers. The relation R is defined on N x N as follows:
≤ a, b) R ≤ c, d) ↔ a + d = b + c
Prove that R is equivalence relation. 

Solution:

i) ≤ a, b) R ≤ a, b) ↔ a + b = b + a
\ R is reflexive.

ii) ≤ a, b) R ≤ c, d) ⇒ a + d = b + c
⇒ c + b = d + a
⇒ ≤ c, d) R ≤ a, b)
\ R is symmetric.


Now iii) ≤ a, b) R ≤ c, d) and ≤ c, d) R ≤ e, f) ⇒ a + d = b + c & c + f = d + e
⇒ a + d + c + f = b + c + d + e
⇒ a + f = b + e ⇒ ≤ a, b) R ≤ e, f)
\ R is transitive. Thus R is an equivalence relation on N x N.

Practice Questions : Class 11 Maths : Sets

Question 1 : Let A, B and C be sets, then show that A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C).

Question 2 : Out of 100 students; 15 passed in English, 12 passed in Mathematics, 8 in Science, 6 in English and Mathematics, 7 in Mathematics and Science; 4 in English and Science; 4 in all the three. Find how many passed:
  • in English and Mathematics but not in Science
  • in Mathematics and Science but not in English
  • in Mathematics only
  • in more than one subject only

Question 3 : Two finite sets have m and n elements respectively. The total number of subsets of first set is 56 more than the total number of subsets of the second set. The values of m and n respectively are: (A) 7, 6 (B) 5, 1 (C) 6, 3 (D) 8, 7

Question 4 : Let A and B be two sets, if A ∩ X = B ∩ X = φ and A U X = B U X for some set X, prove that A =B.

Question 5 : Let P be the set of prime numbers and let S = {t | 2t – 1 is a prime}. Prove that S ⊂ P.

Question 6 : If A and B are subsets of the universal set U, then show that:
  • (i) A ⊂ A ∪ B
  • (ii) A ⊂ B ⇔ A ∪ B = B
  • (iii) (A ∩ B) ⊂ A

Question 7 : A, B and C are subsets of Universal Set U. If A = {2, 4, 6, 8, 12, 20} B = {3, 6, 9, 12, 15}, C = {5, 10, 15, 20} and U is the set of all whole numbers, draw a Venn diagram showing the relation of U, A, B and C.

Question 8 : In a town of 10,000 families it was found that 40% families buy newspaper A, 20% families buy newspaper B, 10% families buy newspaper C, 5% families buy A and B, 3% buy B and C and 4% buy A and C. If 2% families buy all the three newspapers. Find:
  • (a) The number of families which buy newspaper A only.
  • (b) The number of families which buy none of A, B and C

Question 9 : If X and Y are two sets such that X ∪ Y has 18 elements, X has 8 elements and Y has 15 elements; how many elements does X ∩ Y have?

Question 10 : If X= { a, b, c, d } and Y = { f, b, d, g}, find: (i) X – Y (ii) Y – X (iii) X ∩ Y

Thank you very much for reading carefully, if you have any other questions, you can share it with us through comments, if this information was important to you, please let us knows through comments.

Please do comment and share.

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Important Questions : Class 11 Maths Chapter 1 Sets

In this tutorial we will study about how to solve simple questions of sets class 11.


Q. 1: Write the following sets in the roaster form.

(i) A = {x | x is a positive integer less than 10 and 2x – 1 is an odd number}

(ii) C = {x : x2 + 7x – 8 = 0, x ∈ R}

Solution:

(i) 2x – 1 is always an odd number for all positive integral values of x since 2x is an even number.

In particular, 2x – 1 is an odd number for x = 1, 2, … , 9.

Therefore, A = {1, 2, 3, 4, 5, 6, 7, 8, 9}

(ii) x2 + 7x – 8 = 0

(x + 8) (x – 1) = 0

x = – 8 or x = 1

Therefore, C = {– 8, 1}

Q. 2: Write the following sets in roster form:

(i) A = {x : x is an integer and –3 ≤ x < 7}

(ii) B = {x : x is a natural number less than 6}

Solution:

(i) A = {x : x is an integer and –3 ≤ x < 7}

Integers are …-5, -4, -3, -2, -2, 0, 1, 2, 3, 4, 5, 6, 7, 8,…..

A = {-3, -2, -1, 0, 1, 2, 3, 4, 5, 6}

(ii) B = {x : x is a natural number less than 6}

Natural numbers are 1, 2, 3, 4, 5, 6, 7, ……

B = {1, 2, 3, 4, 5}

Q. 3: Given that N = {1, 2, 3, …, 100}, then

(i) Write the subset A of N, whose elements are odd numbers.

(ii) Write the subset B of N, whose elements are represented by x + 2, where x ∈ N.

Solution:

(i) A = {x | x ∈ N and x is odd}

A = {1, 3, 5, 7, …, 99}

(ii) B = {y | y = x + 2, x ∈ N}

1 ∈ N, y = 1 + 2 = 3

2 ∈ N, y = 2 + 2 = 4, and so on.

Therefore, B = {3, 4, 5, 6, … , 100}

Q. 4: Let X = {1, 2, 3, 4, 5, 6}. If n represent any member of X, express the following as sets:

(i) n ∈ X but 2n ∉ X

(ii) n + 5 = 8

(iii) n is greater than 4

Solution:

(i) For X = {1, 2, 3, 4, 5, 6}, it is given that n ∈ X, but 2n ∉ X.

Let, A = {x | x ∈ X and 2x ∉ X}

Now, 1 ∉ A as 2.1 = 2 ∈ X

2 ∉ A as 2.2 = 4 ∈ X

3 ∉ A as 2.3 = 6 ∈ X

But 4 ∈ A as 2.4 = 8 ∉ X

5 ∈ A as 2.5 = 10 ∉ X

6 ∈ A as 2.6 = 12 ∉ X

Therefore, A = {4, 5, 6}

(ii) Let B = {x | x ∈ X and x + 5 = 8}

Here, B = {3} as x = 3 ∈ X and 3 + 5 = 8 and there is no other element belonging to X such that x + 5 = 8.

(iii) Let C = {x | x ∈ X, x > 4}

Therefore, C = {5, 6}

Q. 5: Let U = {1, 2, 3, 4, 5, 6}, A = {2, 3} and B = {3, 4, 5}.

Find A′, B′, A′ ∩ B′, A ∪ B and hence show that ( A ∪ B )′ = A′∩ B′.

Solution:

Given,

U = {1, 2, 3, 4, 5, 6}, A = {2, 3} and B = {3, 4, 5}

A′ = {1, 4, 5, 6}

B′ = { 1, 2, 6 }.

Hence, A′ ∩ B′ = { 1, 6 }

Also, A ∪ B = { 2, 3, 4, 5 }

(A ∪ B)′ = { 1, 6 }

Therefore, ( A ∪ B )′ = { 1, 6 } = A′ ∩ B′

Q. 6: Use the properties of sets to prove that for all the sets A and B, A – (A ∩ B) = A – B

Solution:

A – (A ∩ B) = A ∩ (A ∩ B)′ (since A – B = A ∩ B′)

= A ∩ (A′ ∪ B′) [by De Morgan’s law)

= (A∩A′) ∪ (A∩ B′) [by distributive law]

= φ ∪ (A ∩ B′)

= A ∩ B′ = A – B

Hence, proved that A – (A ∩ B) = A – B.

Q. 7: Let U = {1, 2, 3, 4, 5, 6, 7}, A = {2, 4, 6}, B = {3, 5} and C = {1, 2, 4, 7}, find

(i) A′ ∪ (B ∩ C′)

(ii) (B – A) ∪ (A – C)

Solution:

Given,

U = {1, 2, 3, 4, 5, 6, 7}, A = {2, 4, 6}, B = {3, 5} and C = {1, 2, 4, 7}

(i) A′ = {1, 3, 5, 7}

C′ = {3, 5, 6}

B ∩ C′ = {3, 5}

A′ ∪ (B ∩ C′) = {1, 3, 5, 7}

(ii) B – A = {3, 5}

A – C = {6}

(B – A) ∪ (A – C) = {3, 5, 6}

Q. 8: In a class of 60 students,23 play hockey,15 play basketball,20 play cricket and 7 play hockey and basketball,5 play cricket and basketball,4 play hockey and cricket,15 do not play any of the three games. Find

(i) How many play hockey, basketball and cricket

(ii) How many play hockey but not cricket

(iii) How many play hockey and cricket but not basketball

Solution:

Venn diagram of the given data is:




15 students do not play any of three games.

n(H ∪ B ∪ C) = 60 – 15 = 45

n(H ∪ B ∪ C) = n(H) + n(B) + n(C) – n(H ∩ B) – n(B ∩ C) – n(C ∩ H) + n(H ∩ B ∩ C)

45 = 23 + 15 + 20 – 7 – 5 – 4 + d

45 = 42 + d

d = 45- 42 = 3

Number of students who play all the three games = 3

Therefore, the number of students who play hockey, basketball and cricket = 3

a + d = 7

a = 7 – 3 = 4

b + d = 4

b = 4 – 3 = 1

a + b + d + e = 23

4 + 1 + 3 + e = 23

e = 15

Similarly, c = 2, g =14, f = 6

Number of students who play hockey but not cricket = a + e

= 4 + 15

= 19

Number of students who play hockey and cricket but not basketball = b = 1

Q. 9: Let U = {x : x ∈ N, x ≤ 9}; A = {x : x is an even number, 0 < x < 10}; B = {2, 3, 5, 7}. Write the set (A U B)’.

Solution:

Let U = {x : x ∈ N, x ≤ 9}; A = {x : x is an even number, 0 < x < 10}; B = {2, 3, 5, 7}

U = { 1, 2, 3, 4, 5, 6, 7, 8, 9}

A = {2, 4, 6, 8}

A U B = {2, 3, 4, 5, 6, 7, 8}

(A U B)’ = {1, 9}

Q. 10: In a survey of 600 students in a school, 150 students were found to be drinking Tea and 225 drinking Coffee, 100 were drinking both Tea and Coffee. Find how many students were drinking neither Tea nor Coffee.

Solution:

Given,

Total number of students = 600

Number of students who were drinking Tea = n(T) = 150

Number of students who were drinking Coffee = n(C) = 225

Number of students who were drinking both Tea and Coffee = n(T ∩ C) = 100

n(T U C) = n(T) + n(C) – n(T ∩ C)

= 150 + 225 -100

= 375 – 100

= 275

Hence, the number of students who are drinking neither Tea nor Coffee = 600 – 275 = 325



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