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Published on: 24/08/2026
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1.
The following data relate to advertisement expenditure(in lakh of rupees) and their corresponding sales( in crores of rupees)
| Advertisement expenditure | 40 | 50 | 38 | 60 | 65 | 50 | 35 |
| Sales | 38 | 60 | 55 | 70 | 60 | 48 | 30 |
Estimate the sales corresponding to advertising expenditure of Rs. 30 lakh.
2.
The heights ( in cm.) of a group of fathers and sons are given below
| Heights of fathers: | 158 | 166 | 163 | 165 | 167 | 170 | 167 | 172 | 177 | 181 |
| Heights of Sons: | 163 | 158 | 167 | 170 | 160 | 180 | 170 | 175 | 172 | 175 |
Find the lines of regression and estimate the height of son when the height of the father is 164 cm.
3.
A random sample of recent repair jobs was selected and estimated cost and actual cost were recorded.
| Estimated cost | 300 | 450 | 800 | 250 | 500 | 975 | 475 | 400 |
| Actual cost | 273 | 486 | 734 | 297 | 631 | 872 | 396 | 457 |
Calculate the value of spearman’s correlation coefficient.
4.
Calculate correlation coefficient for the following data.
| X | 25 | 18 | 21 | 24 | 27 | 30 | 36 | 39 | 42 | 48 |
| Y | 26 | 35 | 48 | 28 | 20 | 36 | 25 | 40 | 43 | 39 |
5.
Solve the following linear programming problem graphically.
Maximise Z = 4x1 + x2 subject to the constraints x1 + x2 ≤ 50; 3x1 + x2 ≤ 90 and x1 ≥ 0, x2 ≥ 0.
6.
A Project has the following time schedule
| Activity | 1-2 | 1-6 | 2-3 | 2-4 | 3-5 | 4-5 | 6-7 | 5-8 | 7-8 |
| Duration(in days) | 7 | 6 | 14 | 5 | 11 | 7 | 11 | 4 | 18 |
Construct the network and calculate the earliest start time, earliest finish time, latest start time and latest finish time of each activity and determine the Critical path of the project and duration to complete the project.
7.
A project schedule has the following characteristics
| Activity | 1-2 | 1-3 | 2-4 | 3-4 | 3-5 | 4-9 | 5-6 | 5-7 | 6-8 | 7-8 | 8-10 | 9-10 |
| Time | 4 | 1 | 1 | 1 | 6 | 5 | 4 | 8 | 1 | 2 | 5 | 7 |
Construct the network and calculate the earliest start time, earliest finish time, latest start time and latest finish time of each activity and determine the Critical path of the project and duration to complete the project.
8.
By the principle of mathematical induction, prove the following.
32n-1 is a divisible by 8, for all \(n\in N\) .
9.
By the principle of mathematical induction, prove the following.
13 + 23 + 33 + ....... + n3 = \(\frac { { n }^{ 2 }(n+1)^{ 2 } }{ 4 } \) for all \(n\in N\).
10.
Find the equation of the circle passing through the points (0, 1) , (4 ,3) and (1, -1).
11.
12.
Scatter diagram of the variate values (X,Y) give the idea about ________.
functional relationship
regression model
distribution of errors
no relation
13.
The regression coefficient of Y on X ________.
bxy =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dy^{ 2 }-(\Sigma dy)^{ 2 } } \)
byx =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dy^{ 2 }-(\Sigma dy)^{ 2 } } \)
byx =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dx^{ 2 }-(\Sigma dx)^{ 2 } } \)
bxy =\(\frac { N\Sigma xy-(\Sigma x)(\Sigma y) }{ \sqrt { N\Sigma { x }^{ 2 }-(\Sigma x)^{ 2 }\times \sqrt { N\Sigma { y }^{ 2 }-(\Sigma y)^{ 2 } } } } \)
14.
From the following data, N = 11, ΣX = 117, ΣY = 260, ΣX2 = 1313, ΣY2 = 6580, ΣXY = 2827 the correlation coefficient is ________.
0.3566
-0.3566
0
0.4566
15.
Correlation co-efficient lies between ______.
0 to ∞
-1 to +1
-1 to 0
-1 to ∞
16.
If the values of two variables move in same direction then the correlation is said to be ______.
Negative
positive
Perfect positive
No correlation
17.
Given an L.P.P maximize Z = 2x1 + 3x2 subject to the constrains x1 + x2 ≤ 1, 5x1 + 5x2 ≥ 0 and x1 ≥ 0, x2 ≥ 0 using graphical method, we observe ______.
No feasible solution
unique optimum solution
multiple optimum solution
none of these
18.
Which of the following is not correct?
Objective that we aim to maximize or minimize
Constraints that we need to specify
Decision variables that we need to determine
Decision variables are to be unrestricted
19.
In the given graph the coordinates of M1 are

x1 = 5, x2 = 30
x1 = 20, x2 = 16
x1 = 10, x2 = 20
x1 = 20, x2 = 30
20.
Maximize: z = 3x1 + 4x2 subject to 2x1 + x2 ≤ 40, 2x1+ 5x2 ≤ 180, x1, x2 ≥ 0. In the LPP, which one of the following is feasible corner point?
x1 = 18, x2 = 24
x1 = 15, x2 = 30
x1 = 2.5, x2 = 35
x1 = 20.5, x2 = 19
1.
| X | Y | dx = X-48 | dy = Y-52 | dx2 | dy2 | dx dy |
|---|---|---|---|---|---|---|
| 40 | 38 | -8 | -14 | 64 | 196 | 112 |
| 50 | 60 | 2 | 8 | 4 | 64 | 16 |
| 38 | 55 | -10 | 3 | 100 | 9 | -30 |
| 60 | 70 | 12 | 18 | 144 | 324 | 216 |
| 65 | 60 | 17 | 8 | 289 | 64 | 136 |
| 50 | 48 | 2 | -4 | 4 | 16 | -8 |
| 35 | 30 | -13 | -22 | 169 | 484 | 286 |
| \(\Sigma X\) = 338 | \(\Sigma Y\) = 361 | \(\Sigma dx\) = 2 | \(\Sigma dy\) = -3 | \(\Sigma dx^2\) = 774 | \(\Sigma dy^2\) = 1157 | \(\Sigma dxdy\) = 728 |
\(\bar{X} =\frac{\Sigma X}{N}=\frac{338}{7}=48.29 \)
\(\bar{Y} =\frac{\Sigma Y}{N}=\frac{361}{7}=51.57 \)
\(b_{y x} =\frac{N \Sigma d x d y-\Sigma d x \Sigma d y}{N \Sigma d x^2-(\Sigma d x)^2} \)
\(=\frac{7(728)+6}{7(774)-4} \)
\(=\frac{5102}{5414}=0.942\)
Regression equation of Y on X is
\(Y-\overset{-}{Y}=b_{yx}(X-\overset{-}{X})\)
Y - 51.57 = 0.942(X - 48.29)
Y = 0.942X - 45.49 + 51.57
= 0.942X + 6.08
Y = 0.942(30) + 6.08
Y = 34.34 (In Crores of rupees)
2.
| X | Y | dx = X-168 | dy = Y-169 | dx2 | dy2 | dxdy |
|---|---|---|---|---|---|---|
| 158 | 163 | -10 | -6 | 100 | 36 | 60 |
| 166 | 158 | -2 | -11 | 4 | 121 | 22 |
| 163 | 167 | -5 | -2 | 25 | 4 | 10 |
| 165 | 170 | -3 | 1 | 9 | 1 | -3 |
| 167 | 160 | -1 | 9 | 1 | 81 | -9 |
| 170 | 180 | 2 | 11 | 4 | 121 | 22 |
| 167 | 170 | -1 | 1 | 1 | 1 | -1 |
| 172 | 175 | 4 | 6 | 16 | 36 | 24 |
| 177 | 172 | 9 | 3 | 25 | 9 | 27 |
| 181 | 175 | 13 | 6 | 169 | 36 | 78 |
| \(\Sigma X\) = 1686 | \(\Sigma Y\) = 1690 | \(\Sigma dx\) = 6 | \(\Sigma dy\) = 0 | \(\Sigma dx^2\) = 410 | \(\Sigma dy^2\)= 446 | \(\Sigma dxdy\) = 248 |
\(\bar{X} =\frac{\Sigma X}{N}=\frac{1686}{10}=168.6 \)
\(\bar{Y} =\frac{\Sigma Y}{N}=\frac{1690}{10}=169 \)
\(b_{x y} =\frac{N \Sigma d x d y-(\Sigma d x)(\Sigma d x)}{N \Sigma d y^2-(\Sigma d y)^2} \)
\(=\frac{10(248)-0}{10(446)-0}=\frac{248}{446}=0.556 \)
\(b_{y x} =\frac{N \Sigma d x d y-(\Sigma d x)(\Sigma d y)}{N \Sigma d x^2-(\Sigma d x)^2} \)
\(=\frac{2480}{4100-36}=\frac{2480}{4064}=0.6102\)
Regression equation of X on Y
\(X-\bar{X}=b_{x y}(Y-\bar{Y}) \)
X - 168.6 = 0.556(Y - 169)
X = 0.556 Y + 168.6-93.964
X = 0.556 Y + 74.64
Regression equation of Y on X
\(Y-\bar{Y}=b_{y x}(X-\bar{X}) \)
Y - 169 = 0.6102(X - 168.6)
Y = 0.6102 X - 102.8 + 169
Y = 0.6102X + 66.12
If X = 164
Y= 100.07 + 66.12
= 166.19
Height of son is 166.19
3.
| X | Y | Rx | Ry | d=Rx-Ry | d2 |
| 300 | 273 | 2 | 1 | 1 | 1 |
| 450 | 486 | 4 | 5 | -1 | 1 |
| 800 | 734 | 7 | 7 | 0 | 0 |
| 250 | 297 | 1 | 2 | -1 | 1 |
| 500 | 631 | 6 | 6 | 0 | 0 |
| 975 | 872 | 8 | 8 | 0 | 0 |
| 475 | 396 | 5 | 3 | 2 | 4 |
| 400 | 457 | 3 | 4 | -1 | 1 |
| \(\sum\)d2 = 8 |
\(\rho =1-\frac{6 \Sigma d^2}{n\left(n^2-1\right)} \)
\(=1-\frac{6(8)}{8(63)} \)
= 1-0.0952
= 0.905
4.
| X | Y | x2 | y2 | xy |
| 25 | 26 | 625 | 676 | 650 |
| 18 | 35 | 324 | 1225 | 630 |
| 21 | 48 | 441 | 2304 | 1008 |
| 24 | 28 | 576 | 784 | 672 |
| 27 | 20 | 729 | 400 | 540 |
| 30 | 36 | 900 | 1296 | 1080 |
| 36 | 25 | 1296 | 625 | 900 |
| 39 | 40 | 1521 | 1600 | 1560 |
| 42 | 43 | 1764 | 1849 | 1806 |
| 48 | 39 | 2304 | 1521 | 1872 |
| \(\sum\)X = 310 | \(\sum\)Y = 340 | \(\sum\)X2 = 10480 | \(\sum\)Y2 = 12280 | \(\sum\)XY = 10718 |
\(r(x, y)=\frac{N \Sigma X Y-\left(\sum X\right)\left(\sum Y\right)}{\sqrt{N \Sigma X^2-(\Sigma Y)^2} \sqrt{N \Sigma Y^2-(\Sigma Y)^2}} \)
\(=\frac{10(10718)-(310)(340)}{\sqrt{10(10480)-(310)^2} \sqrt{10(12280)-(340)^2}} \)
\(=\frac{107180-105400}{\sqrt{104800-96100} \sqrt{122800-115600}} \)
\(=\frac{1780}{\sqrt{8700 \times 7200}}=\frac{1780}{7914.54}=0.2249\)
5.
First we have to find the feasible region using the given conditions.
Since both the decision variables x1 and x2 are non-negative, the solution lies in the first quadrant write all the inequalities of the constraints in the form of equations.
∴ We have the lines \(x_1+x_2 \leq 50; 3 x_1+x_2 \leq 90\)
x1 + x2 = 50 is a line passing through the points (0,50) and (50,0).
[(0,50) is obtained by taking x1 = 0 in x1 + x2 = 50, (50,0) is obtained by taking x2 = 0 in \(\left.x_1+x_2=50\right]\)
Any point lying on or below the line x1 + x2 = 50. Satisfies the constraint \(x_1+x_2 \leq 50\)
We follow the same steps for the following
x1 + x2 = 50
| x1 | 0 | 50 |
| x2 | 50 | 0 |
\({ 3x }_{ 1 }+{ x }_{ 2 }=90\)
| x1 | 0 | 30 |
| x2 | 90 | 0 |
Now we draw the graph
The feasible region satisfying all the conditions is OABC. The co-ordinates of the points are O(0,0), A(30, 0), B(20,30), C(0,50).
| Corner points | \( Z=4{ x }_{ 1 }+{ x }_{ 2 }\) |
| O(0,0) | 0 |
| A(30,0) | 120 |
| B(20,30) | 80 + 30 = 110 |
| C(0,50) | 50 |
Optimal solution is at A(30,0)
x1 = 30, x2 = 0 and Zmax = 120.
Verification
\(3 x_1+x_2 =90 \)
\(x_1+x_2 =50 \)
\(2 x_1 =40 \)
\(x_1 =20 x_2 =50-20=30 \)
B(20,30)
6.
| E1 = 0 | L8 = 35 |
| E2 = 0 + 7 + 7 | L7 = 35 - 18 - 17 |
| E3 = 7 + 14 = 21 | L6 = 18 - 11 = 7 |
| E4 = 7 + 5 = 12 | L5 = 36 - 4 = 32 |
| E5 = max of {21 + 11, 12 + 7} = 32 | L4 = 32 - 7 = 25 |
| E6 = 0 + 6 = 6 | L3 = 32 - 11 = 21 |
| E7 = 6 + 11 = 17 | L2 = min of {21 - 14, 25 - 5} = 7 |
| E8 = max of {32 + 4, 17 + 18) = 36 | L1 = 7 - 7 = 0 |
| Activity | Duration tij | EST | EFT = EST + Tij | LST = LFT - tij | LFT |
|---|---|---|---|---|---|
| 1-2 | 7 | 0 | 7 | 0 | 7 |
| 1-6 | 6 | 0 | 6 | 6 | 7 |
| 2-3 | 14 | 7 | 21 | 7 | 21 |
| 2-4 | 5 | 7 | 12 | 20 | 25 |
| 3 -5 | 11 | 21 | 32 | 21 | 32 |
| 4 - 5 | 7 | 12 | 19 | 7 | 14 |
| 6 - 7 | 11 | 6 | 17 | 7 | 18 |
| 5- 8 | 4 | 32 | 36 | 32 | 36 |
| 7 - 8 | 19 | 17 | 36 | 17 | 36 |
Since EFT and LFT are same in 1 - 2, 2 - 3, 3 - 5 and 5 -8, The critical path is 1 - 2 - 3 - 5 - 8 and the duration of time is 36 days.
7.
| E1 = 0 | L10 = 22 |
| E2 = 0 + 4 = 4 | L9 = 22 - 7 = 15 |
| E3 = 0 + 1 = 1 | L8 = 22 - 5 = 17 |
| E4 = Max of {4 + 1, 1 + 1} = 5 | L7 = 17 - 2 = 15 |
| E5 = 1 + 6 = 7 | L6 = 17 - 1 = 16 |
| L5 = Min of {16-4, 15-8} = 7 | |
| E6 = 7 + 4 = 11 | L4 = 15 - 5 = 10 |
| E8 = Max of {15 + 2, 11 + 1}= 17 | L3 = Min of {10-1, 7-6] = 1 |
| E9 = 5 + 5 = 10 | L2 = 10 - 1 = 9 |
| E10 = Max of {10 + 7, 17 + 5} = 22 | L1 = 0 |
| Activity | Duration tij | EST | EFT = EST + Tij | LST = LFT - tij | LFT |
|---|---|---|---|---|---|
| 1-2 | 4 | 0 | 4 | 9-4 = 5 | 9 |
| 1-3 | 1 | 0 | 1 | 1-1 = 0 | 1 |
| 2-4 | 1 | 4 | 5 | 10-1 = 9 | 10 |
| 3-4 | 1 | 1 | 2 | 10-1 = 9 | 10 |
| 3-5 | 6 | 1 | 7 | 7-6 = 1 | 7 |
| 4-9 | 5 | 5 | 10 | 15-5 = 10 | 15 |
| 5-6 | 4 | 7 | 11 | 16-4 = 12 | 16 |
| 5-7 | 8 | 7 | 15 | 15-8 = 7 | 15 |
| 6-8 | 1 | 11 | 12 | 17-1 = 16 | 17 |
| 7-8 | 2 | 15 | 17 | 17-2 = 15 | 17 |
| 8-10 | 5 | 17 | 22 | 22-5 = 17 | 22 |
| 9-10 | 7 | 10 | 17 | 22-7 = 15 | 22 |
Since EFT and LFT is same on 1 - 3, 3 - 5, 5 -7 and 7 - 8 and 8 -10 the critical path is 1- 3 - 5 -7 - 8 - 10 and the duration is 22 time units.
8.
Let P (n) denote the statement. 32n - 1 is a divisible by 8
Step-1: Put n = 1
∴ P(1) : 32 - 1 = 9 - 1 = 8 is divisible by 8
∴ P(1) is true.
Step-2: Let us assume that P(k) is true.
∴ 32k - 1 is divisible by 8
⇒ 32k - 1 = 8C (where C is a constant)
⇒ 32k = 8C + 1 ....(1)
Step-3:
To prove that P(k + 1) is true
P(k + 1):32 (k + 1) - 1
= 32k + 2 - 1 = 32k .32 - 1
= (8 m + 1) . 9 - 1
= 8 m . 9 + 9 - 1
= 8 m . 9 + 8
= 8 (9 m + 1)
which is divisible by 8.
∴ P (k + I) is true whenever P( k) is true.
∴ p(n) is true for all \(n\in N\).
9.
Let P (n) denote the statement 13 + 23 + 33 + ....... + n3 = \(\frac { { n }^{ 2 }(n+1)^{ 2 } }{ 4 } \)
Put n = 1
LHS = 13 = 1
\(=\frac { 1^2(2)^2 }{ 4 } \Rightarrow 1\)
LHS = RHS
\(\therefore\) P (1) is true
Let us assume that P(k) is true
p(k) : 13 + 23 + ..... + k3 = \(\frac { { k }^{ 2 }(k+1)^{ 2 } }{ 4 } \)
To prove that P(k+1) IS true
p(k) : 13 + 23 + ..... + k3 + (k + 1)3
\(=P(k)+(k+1)^3\)
= \(\frac { { k }^{ 2 }(k+1)^{ 2 } }{ 4 } +(k+1)^{ 3 }\)
\(=\frac{k^2(k+1)^2+4(k+1)^3}{4}\)
\(=\frac{(k+1)^2\left(k^2+4(k+1)\right)}{4}\)
\(=\frac{(k+1)^2\left(k^2+4 k+4\right)}{4}=\frac{(k+1)^2(k+2)^2}{4}\)
∴ p(k + 1) is true if P(k) is true.
∴ p(n) is true for all \(n\in N\)
10.
Equation of the circle be x2 + y2 + 2gx + 2fy + c = 0 ..(1)
It passes through (0, 1)
0 + 1 + 0 + 2f + c = 0 \(\Rightarrow \) 2f + c = -1 ..(2)
The circle passes through (4, 3)
16 + 9 + 8g + 6f + c = 0 \(\Rightarrow \) 8g + 6f + c = -25 ...(3)
The circle passes through (1,-1)
1 + 1 + 2g - 2f + c = 0 \(\Rightarrow \) 2g - 2f + c = -2 ....(4)
Solving (1), (2) and (3) we get
c = 1 \(\Rightarrow\) g = -5/2 \(\Rightarrow\) f = -1
Equation of circle is
x2 + y2 + 2 \(\left( -\frac { 5 }{ 2 } \right) \)x + 2(-1)y + 1 = 0
x2 + y2 - 5x - 2y + 1 = 0
11.
(b)
12.
(a)
functional relationship
13.
(c)
byx =\(\frac { N\Sigma dxdy-(\Sigma dx)(\Sigma dy) }{ N\Sigma dx^{ 2 }-(\Sigma dx)^{ 2 } } \)
14.
\(r =\frac{11(2827)-(117)(260)}{\sqrt{11(1313)-(117)^2} \sqrt{11(6580)-(260)^2}} \)
\(=\frac{31097-30420}{\sqrt{754 \times 4780}}=0.3566\)
15.
(b)
-1 to +1
16.
(b)
positive
17.
Since there is no common area between the lines x1 + x2 ≤ 1 and 5x1 + 5x2 ≥ 0
18.
(d)
Decision variables are to be unrestricted
19.
(c)
x1 = 10, x2 = 20
20.
Since x1 = 2.5, x2 = 35 satisfies all the Constraints
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