11th Standard Syllabus & Materials
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Published on: 02/07/2021
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Take MCQ Business Maths and Statistics Test

1.
A card from pack 52 cards is lost. From the remaining cards of the pack, two cards are drawn and are found to be hearts. Find the probability of the missing card to be a heart?
2.
Separate the intervals in which the function x3 + 8x2 + 5x - 2 is increasing or decreasing.
3.
Solve the following LPP graphically. Maximize \(Z={ x }_{ 1 }+{ x }_{ 2 }\)
Subject to the constraints \({ x }_{ 1 }-{ x }_{ 2 }\le -1,{ -x }_{ 1 }+{ x }_{ 2 }\le 0\quad and\quad { x }_{ 1 }+{ x }_{ 2 }\ge 0\)
4.
Find the future value of an ordinary annuity of Rs.1000 a year for 5 years for 5 years at 7% p.a compounded annually.
5.
Two phychologist ranked 12 candidates in the selection list as below:
| X | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| Y | 12 | 9 | 6 | 10 | 3 | 5 | 4 | 7 | 8 | 2 | 11 | 1 |
Find the rank correlation co-efficient.
6.
Find the value of tan \(\left( {{\pi}\over{8}} \right)\)
7.
Show that \(\tan\left(\frac{\pi}{3}+x\right)\tan\left(\frac{\pi}{3}-x\right)=\frac{2\cos2x+1}{2\cos2x-1}\)
8.
Find \(\frac{dy}{dx}\) if x = 15(t - sin t); y = 18(1 - cos t).
9.
Find the locus of a point such that the sum of its distances from the points (0, 2) and (0, -2) is 6.
10.
Find the numbers a and b such that A2 + aA + bI = 0 for the matrix A =\(\begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}\)
1.
Let E1 = missing card is a heart card
E2 = missing card is a spade card
E3 = missing card is a club card
E4 = missing card is a diamond card
and A = drawing 2 heart cards from the remaining cards.
\(\therefore\) P(E1) = P(E2) = P(E3) = P(E4)
\(=\frac { 13 }{ 52 } =\frac { 1 }{ 4 } \)
P(A/E1) = P(two heart cards given that one heart card is missing)
\(=\frac { 12{ C }_{ 2 } }{ 51{ C }_{ 2 } } =\frac { \frac { 12\times 11 }{ 2\times 1 } }{ \frac { 51\times 50 }{ 2\times 1 } } =\frac { 66 }{ 1275 } \)
P(A/E2) = P(2 heart cards given that one spade card is missing)
\(=\frac { 13{ C }_{ 2 } }{ 51{ C }_{ 2 } } =\frac { \frac { 13\times 12 }{ 2 } }{ \frac { 51\times 50 }{ 2\times 1 } } =\frac { 78 }{ 1275 } \)
Similarly, P(A/E3) = \(\frac { 13{ C }_{ 2 } }{ 51{ C }_{ 2 } } =\frac { 78 }{ 1275 } \)
and P(A/E4) = \(\frac { 13{ C }_{ 2 } }{ 51{ C }_{ 2 } } =\frac { 78 }{ 1275 } \)
\(\therefore\) By Baye's theorem,
\(P({ E }_{ 1 }/A)=\frac { P({ E }_{ 1 }).P\left( A/{ E }_{ 1 } \right) }{ P({ E }_{ 1 }).P\left( A/{ E }_{ 1 } \right) +P({ E }_{ 2 }).P\left( A/{ E }_{ 2 } \right) +P({ E }_{ 3 }).P(A/{ E }_{ 3 }) } \)
\(=\frac { \frac { 1 }{ 4 } \times \frac { 66 }{ 1275 } }{ \frac { 1 }{ 4 } \times \frac { 66 }{ 1275 } +\frac { 1 }{ 4 } \times \frac { 78 }{ 1275 } +\frac { 1 }{ 4 } \times \frac { 78 }{ 1275 } +\frac { 1 }{ 4 } \times \frac { 78 }{ 1275 } } \)
\(=\frac { \frac { 1 }{ 4 } \times \frac { 66 }{ 1275 } }{ \frac { 1 }{ 4 } \left[ \frac { 66 }{ 1275 } +\frac { 78 }{ 1275 } +\frac { 78 }{ 1275 } +\frac { 78 }{ 1275 } \right] } \)
\(=\frac { 66 }{ 1275 } \times \frac { 1275 }{ 66+78+78+78 } \)
\(=\frac { 66 }{ 300 } =\frac { 11 }{ 50 } \)
2.
Let y = x3+8x2+5x-2
Differentiating w.r.t. 'x' we get
\({dy\over dx}=3x^2+16x+5\)
\({dy\over dx}=0⇒3x^2 + 16x + 5=0\)
⇒ (x+5)(3x+1)=0
⇒ x = - 5, -1/3
The possible intervals are (-∞, - 5), (-5, -1/3) and (-1/3, ∞)
| Intervals | Sign of \(dy\over dx\) | Nature of Function |
|---|---|---|
| (-∞, - 5) say x = - 6 | 3(-6)2 + 16(-6) + 5 = 17 (Positive) | Increasing Function |
| (-5, -1/3) say x = -1 | 3(-1)2 + 16(-1) + 5 = - 8 (Negative) | Decreasing Function |
| (-1/3, ∞) say x = 0 | 3(0)2 + 16(0) + 5 = 5 (Positive) | Increasing Function |
Hence the given function is increasing in the intervals (-∞, - 5), (-1/3, ∞) and decreasing in (-5, -1/3).
3.
Since the decision variables are non-negative, the solution lies in the I quadrant of the plane.
Consider the equations
\({ x }_{ 1 }-{ x }_{ 2 }=-1\)
| \({ x }_{ 1 }\) | 0 | 1 |
| \({ x }_{ 2 }\) | 1 | 2 |
\({ -x }_{ 1 }+{ x }_{ 2 }=0\)
| \({ x }_{ 1 }\) | 2 | 1 |
| \({ x }_{ 2 }\) | 2 | 1 |

The feasible region is not common. Thus, there is no maximum value of Z.
4.
Given a = Rs.1000,i = 7% = 0.07.n = 5
A = \(\cfrac { a }{ i } \left[ \left( 1+i \right) ^{ n }-1 \right] \)
=\(\cfrac { 1000 }{ 0.07 } \) x [(1.07)5-1]
=14,285.71[1.4028-1]
= (14,285.71)[0.4028]
= Rs.5754.28
(1.07)5 = 5 log(1.07)
= 5(0.0294)
= 0.1470
Antilog of 0.1470 is 1.4028
5.
| RX | RY | d=RX-RY | d2 |
| 1 | 12 | -11 | 121 |
| 2 | 9 | -7 | 49 |
| 3 | 6 | -3 | 9 |
| 4 | 10 | -6 | 36 |
| 5 | 3 | 2 | 4 |
| 6 | 5 | 1 | 1 |
| 7 | 4 | 3 | 9 |
| 8 | 7 | 1 | 1 |
| 9 | 8 | 1 | 1 |
| 10 | 2 | 8 | 64 |
| 11 | 11 | 0 | 0 |
| 12 | 1 | 11 | 121 |
| \(\sum\)d2=416 |
n=12
Rank correlation co-efficient
\(\rho =1-\frac { 6\sum { { d }^{ 2 } } }{ N({ N }^{ 2 }-1) } \)
=1-\(\frac { 6\times 416 }{ 12({ 12 }^{ 2 }-1) } =1-\frac { 16 }{ 11 } =\frac { -5 }{ 11 } \)
\(\rho\)=-0.45
6.
\(\tan{{\pi}\over{8}}=\sqrt{2}-1.\)
7.
LHS\(=\tan\left(\frac{\pi}{3}+x\right)\tan\left(\frac{\pi}{3}-x\right)\)
\(=\frac{2\sin\left(\frac{\pi}{3}+x\right).\sin\left(\frac{\pi}{3}-x\right)}{2\cos\left(\frac{\pi}{3}+x\right)\cos\left(\frac{\pi}{3}-x\right)}\)
\([\because2\sin A\sin B=\cos(A-B)-\cos(A+B)\ and\ \ 2\cos A\cos B=\cos(A+B)+\cos(A-B)]\)
\(=\frac{\cos\left(\frac{\pi}{3}+x-\frac{\pi}{3}+x\right)-\cos\left(\frac{\pi}{3}+x+\frac{\pi}{3}-x\right)}{\cos\left(\frac{\pi}{3}+x+\frac{\pi}{3}-x\right)+\cos\left(\frac{\pi}{3}+x-\frac{\pi}{3}+x\right)}\)
\(=\frac{\cos2x-\cos\frac{2\pi}{3}}{\cos\frac{2\pi}{3}+\cos2x}=\frac{\cos2x+\frac{1}{2}}{-\frac12+\cos2x}\)
\(=\frac{2\cos2x+1}{2\cos2x-1}\)
=RHS
Hence proved.
8.
Given x = 15(t - sint)
Differentiating with respect to 't' we get,
\(\frac{dy}{dx}\) = 15(1 - cos t) Also y = 18(1 - cos t)
\(\frac{dy}{dx}\) = 18(sin t)
Now \(\frac { dy }{ dx } =\frac { \frac { dy }{ dt } }{ \frac { dx }{ dt } } =\frac { 18\sin { t } }{ 15\left( 1-\cos { t } \right) } =\frac { 6\sin { t } }{ 5\left( 1-\cos { t } \right) } \)
\(=\frac { 6\times 2\sin { \frac { t }{ 2 } } \cos { \frac { t }{ 2 } } }{ 5\times 2\sin ^{ 2 }{ \frac { t }{ 2 } } } \) \(\left[ \because sin2A=2sinAcosA\ \ and\ 1-cosA=2{ sin }^{ 2 }\frac { A }{ 2 } \right] \quad \quad \)
\(=\frac { 6 }{ 5 } \cot { \left( \frac { t }{ 2 } \right) } \)
9.
Let P(x1, y1) be any point on the locus and let A(0, 2) B(0, -2) be the fixed points.
By the given condition, PA + PB =6
\(\Rightarrow \sqrt { { \left( { x }_{ 1 }-0 \right) }^{ 2 }+{ \left( { y }_{ 1 }-2 \right) }^{ 2 } } +\sqrt { { ({ x }_{ 1 }-0 })^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 } } =6\)
\(\Rightarrow \sqrt { { x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }-2) }^{ 2 } } =6-\sqrt { { x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 } } \)
Squaring both sides we get,
\({ x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }-2) }^{ 2 }=36-12\sqrt { { x }_{ 1 }^{ 2 }+({ y }_{ 1 }+2)^{ 2 } } +{ x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 }\)
\(\Rightarrow \quad { x }_{ 1 }^{ 2 }+{ y }_{ 1 }^{ 2 }+4-4{ y }_{ 1 }=36-12\sqrt { { x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 } } +{ x }_{ 1 }^{ 2 }+{ y }_{ 1 }^{ 2 }+4+4{ y }_{ 1 }\)
\(\Rightarrow \quad { x }_{ 1 }^{ 2 }+{ y }_{ 1 }^{ 2 }+4-4{ y }_{ 1 }-36-{ x }_{ 1 }^{ 2 }-{ y }_{ 1 }^{ 2 }-4-4{ y }_{ 1 }=-12\sqrt { { x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 } } \)
= -8y1 - 36 = -12 \(\sqrt { { x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 } } \)
= 2y1 + 9 = 3\(\sqrt { { x }_{ 1 }^{ 2 }+{ ({ y }_{ 1 }+2) }^{ 2 } } \)
Squaring again we get,
(2y1+9)2 = 9[\({ x }_{ 1 }^{ 2 }+({ y }_{ 1 }+2)^{ 2 }]\)
\(\Rightarrow 4{ y }_{ 1 }^{ 2 }+81+36{ y }_{ 1 }=9[{ x }_{ 1 }^{ 2 }+{ y }_{ 1 }^{ 2 }+4+4{ y }_{ 1 }]\)
\(\Rightarrow 4{ y }_{ 1 }^{ 2 }+81+36{ y }_{ 1 }-9{ x }_{ 1 }^{ 2 }-9{ y }_{ 1 }^{ 2 }-36-36{ y }_{ 1 }=0\)
\(\Rightarrow -9{ x }_{ 1 }^{ 2 }-5{ y }_{ 1 }^{ 2 }+45=0\)
\(\Rightarrow 9{ x }_{ 1 }^{ 2 }+5{ y }_{ 1 }^{ 2 }=45\)
\(\therefore \) Locus of (x1 , y1) is 9x2 + 5y2 = 45
10.
Given A =\(\begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}\)
\(\therefore\)A2 = A.A =\(\begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}\)\(\begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}\)=\(\begin{bmatrix} 9+2 & 6+2 \\ 3+1 & 2+1 \end{bmatrix}=\begin{bmatrix} 11 & 8 \\ 4 & 3 \end{bmatrix}\)
Given A2 + aA + bI = 0
⇒ \(\begin{bmatrix} 11 & 8 \\ 4 & 3 \end{bmatrix}+a\begin{bmatrix} 3 & 2 \\ 1 & 1 \end{bmatrix}+b\begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}\)= 0
⇒ \(\begin{bmatrix} 11+3a+b & 8+2a+0 \\ 4+a+0 & 3+a+b \end{bmatrix}=\begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix}\)
Equating the like terms we get,
4 + a = 0 ⇒ a = -4
3 + a + b = 0 ⇒ 3 - 4 + b = 0
-1 + b = 0 ⇒ b = 1
11th Standard Syllabus & Materials
11th Standard
TN 11th Tamil பீடு பெற நில் - செய்யுள் - காவடிச்சிந்து Important Questions And Answers Study Material - QB365 Set A
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