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12 STD BUSINESS MATHEMATICS 6 MARK FAQ’S: CHAPTER : 1. APPLICATION OF MATRICES AND DETERMINANTS 1 1 1    2 1 , verify that AdjA  A (J’07; O’07 ; O’11) 1. Given A   2 1  3 1  1   1 0 a   2. Find the inverse of A   0 1 b , and verify that AA1  I . (J’06) 0 0 1  

3 1    6 0 1 3. Verify  AB   B 1 A1 , when A   , and B   . (M’06 ; M’07 ; J’11; M’12)  2  1  0 9  6 7  1   4. Find  if the matrix  3  5  has no inverse. (M’09)  9 11      1 0  3 1 . (O’09) , and B   5. Verify Adj  AB   ( AdjB )( AdjA ) , when A    2 1  4 2

 14   3 1  X   , find the matrix X. (O’08) 6. If   29   4 2  1 2  2   7. If A   4  3 4  then show that the inverse of A is itself. (J’10)  4 4 5    1 0 2   8. Find the inverse of the matrix A   3 1 1 . (O’10)  2 1 2  

2 3 4    9. Find the inverse of the matrix A   3 2 1  if it exists.(M’11) 1 1  2   1 2   0  1 1 , and B   . (M’10) 10. NON - TEXTUAL: Verify  AB   B 1 A1 , when A   1 1  1 2  1 0 a   11. NON – TEXTUAL: Find the inverse of A   0 1 b . (J’09) 0 0 1   1 2 1   12. NON – TEXTUAL: Find the inverse of the matrix A   0 2 3 . (M’06)  1 1 4  

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1 3 7   13. NON – TEXTUAL: Find the inverse of the matrix A   4 2 3 . (O’06) 1 2 1    1 1 1 1   14. Find the rank of the matrix A   1 3  2 1 . (J’07 ; M’08 )  2 0  3 2    5 3 14 4    15. Find the rank of the matrix A   0 1 2 1 . (J’08) 1 1 2 0  

 4 5 2 2   16. Find the rank of the matrix A   3 2 1 6 . (J’06 ; J’10 ; J’11)  4 4 8 0   1  17. Find the rank of the matrix A   2 1   2  18. Find the rank of the matrix A   0  1 

4   6 8 . (O’06) 4  2  2  4  1 3 4  1 1 2 . (O’11) 3 4 7  2

3

1 1 1 3    19. NON – TEXTUAL: Find the rank of the matrix A   2  1 3 4 . (M’11)  5  1 7 11  

20. Solve using matrices the equations 2x – y = 3 ; 5x + y = 4. (O’09) 21. Solve by Cramer’s rule the equations 6x – 7y = 16 ; 9x – 5y = 35. (J’08) 22. Solve by Cramer’s rule the equations 2x – 3y -1 = 0 ; 5x + 2y -12 = 0. (J’09) 23. Show that the equations 2x – y + z = 7, 3x + y – 5z = 13, x + y + z = 0 are consistent and have

unique solution. (O’09) 24. Show that the equations x  3 y  4 z  3, 2 x  5 y  7 z  6, 3x  8 y  11z  1 are inconsistent.(M’07 ; M’09 ; M’12) 25. Show that the equations x  y  z  3, 3x  y  2 z  2, 2 x  4 y  7 z  7 are not consistent.(M’10) 26. Show that the equations x  y  z  0, 2 x  y  z  0, x  2 y  z  0 have only trivial solution.(O’10) 27. Find k if the equations 2 x  3 y  z  5 , 3 x  y  4 z  2, and x  7 y  6 z  k are consistent. (M’06) 28. Find k if the equations x + 2y - 3z = -2, 3x - y – 2z = 1, 2x + 3y - 5z = k are consistent. (O’07)

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CHAPTER : 2. ANALYTICAL GEOMETRY 1. The supply of a commodity is related to the price by the relation x  5 2 p  10. Show that the supply curve is a parabola. Find its vertex and the price below which supply is zero. (O’07) 2. Find the focus, latus rectum, vertex, directrix of the parabola x 2  3 y  3  0. (M’07) 3. Find the focus, latus rectum, vertex, directrix of the parabola y 2  4 x  2 y  3  0. (J’09 ; M’12) 4. Find the equation of the parabola with the focus (1,2) and directrix is x + y – 2 = 0. (J’10 ; M’11) 5. Find the equation of the parabola with the focus (3,4) and directrix is x – y + 5 = 0. (O’10) 6. Find the equation of the parabola with the focus (1, -1) and directrix is x – y = 0. (O’11) 7. Find the equation of the ellipse whose eccentricity

1 , is one of the foci is (-1,1) and the corresponding 2

directrix is x – y + 3 = 0. (J’06 ; J’07 ; J’08) 8. Find the equation of the ellipse whose focus is (1,-2) , directrix is 3x – 2y + 1 = 0 and e 

1 2

. (O’06 ;

M’10) 9. Find the equation of the ellipse, whose focus is (1 , 2), directrix is 2 x  3 y  6  0 , and e 

2 . (M’08) 3

1 10. Find the equation of the ellipse whose foci are (4,0) and (-4,0) and e  . (O’09) 3 11. Find the eccentricity , foci and latus-rectum of the ellipse 9x2 + 16y2 = 144. (M’09)

12. Find the equation of hyperbola whose eccentricity is 3 , focus 1,2  and the corresponding directrix is 2 x  y  1. (M’06 ; J’11)

13. Find the equation to the hyperbola which has 3x – 4y + 7 = 0 and 4x + 3y + 1 = 0 for asymptotes and which passes through the origin. (O’08) 90  6. p5 What type of demand curve corresponds to the above demand’s law? At what price does the demand

14. A machine sells at Rs. p and tha demand, x (in hundreds) machine per year is given by x 

tend to vanish? (yet to be asked)

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CHAPTER : 3. APPLICATION OF DIFFERENTIATION - I 1 3 x  4 x 2  20 x  5. Find 10 (i) the average cost (ii) the marginal cost (iii) the marginal average cost (M’08)

1. The cost function for the production of x units of an item is given by C 

2. Find the elasticity of supply for the supply function x = 2p2 + 8p + 10. (J’09) 3. Find the elasticity of demand for the function x = 100 – p – p2 when p = 5. (J’10)

Ey 1  2x find . Obtain the values of  when x = 0 and x = 2. (J’06 ; J’08 ; J’11 ; O’11) Ex 2  3x 5. The demand curve for a monopolist is given by x  100  4 p. (i) Find the total revenue, average

4. If y 

revenue and marginal revenue. (ii) At what value of x, the marginal revenue is equal to zero? (M’06;J’07;M’11) 6. The demand for a given commodity is q = - 60p +480, (0
x  1.3. (M’11) 9. The supply of certain items is given by the supply function x  a p  b , where p is the price, a and b are positive constants. (p>b). Find an expression for elasticity of supply  s . Show that it becomes unity when the price is 2b. (O’08) 10. The price p and quantity x of a commodity are related by the equation x = 30 – 4p – p2. Find the elasticity of demand and marginal revenue. (M’09 ; M’12) 11. Find the equilibrium price and equilibrium quantity for the following demand and supply functions: q d  4  0.06 p and q s  0.6  0.11 p. (M’10) 12. Find the equilibrium price and equilibrium quantity for the following demand and supply functions: qd  4  0.05 p and qs  0.8  0.11 p. (O’06 ; O’07 ; O’10) 13. If the perimeter of a circle increases at a constant rate, prove that the rate of increase of the area varies as the radius of the circle. (M’12) 14. A metal cylinder is heated and expands so that its radius increases at a rate of 0.4 cm per minute and its height increases at a rate of 0.3 cm per minute retaining its shape. Determine the rate of change of the surface area of the cylinder, when its radius is 20 cm and height is 40 cm. (M’08) 15. A metal cylinder when heated, expands in such a way that its radius r, increases at a rate of 0.2 cm per minute and its height h increases at a rate of 0.15 cm per minute. retaining its shape. Determine the rate of change of volume of the cylinder, when its radius is 10 cm and height is 25 cm. (O’06 ; O’09)

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16. The radius of a circular plate is increasing at the rate of 0.2 cm per second. At what rate is the area increasing when the radius of the plate is 25 cm? (J’10 ; O’11) 17. For what values of x, is the rate of increase of x3 – 5x2 + 5x + 8 is twice the rate of increase of x? (J’07 ; O’08 ; O’10) x 2  12 , ( x  4 ) at the point (0, 3) and determine the points where the x4 tangent is parallel to the x-axis. (M’09)

18. Find the slope of the curve y 

 x7 19. For the cost function y  3 x   5, prove that the marginal cost falls continuously as the output x  x5 increases. (J’06 ; J’08)

20. Find the equation of the tangent and normal to the demand curve y  36  x 2 at y  11. (M’07) 21. NON – TEXTUAL: Find the equations of the tangent and normal to the curve x  a cos  , y  b sin  at  



. (M’06) 4 22. At what points on the curve 3y = x3 the tangents are inclined at 45 to the x-axis? (J’09 ; M’10;J’11)

23. Find the equation of the tangent and normal to the curve xy  9 at x  4. (O’07)

CHAPTER : 4. APPLICATION OF DIFFERENTIATION - II 1. Show that the function x3 + 3x2 +3x + 7 is an increasing function for all real values of x. (J’10) 2. Separate the intervals in which the function x3 + 8x2 + 5x – 2 is increasing or decreasing. (O’10) 3. Find the maximum and minimum values of the function x 3  6 x 2  9 x  15. (J’08) 4. Find the points of inflection of the curve y = 2x4 – 4x3 + 3. (O’08) 5. Find the points of inflection of the curve y = x4 – 4x3 + 2x + 3. (J’09 ; M’12) 6. Find the stationary points and the stationary values of the function f ( x)  2 x 3  3x 2  12 x  7. (O’11) 7. Find the intervals in which the curve y = x4 – 3x3 + 3x2 +5x +1 is convex upward and convex downward. (J’07) 8. Determine the value of output ‘q’ at which the cost function C = q2 – 6q + 120 is minimum.(M’09) 9. A certain manufacturing concern has the total cost function C 

1 2 x  6 x  100. When will the cost be 5

minimum? (M’07) 10. A firm produces x tons of a valuable metal per month at a total cost C given by 1  C  Rs. x 3  5 x 2  75 x  10 . Find at what level of output, the marginal cost attains its minimum. 3   .(O’07)

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11. A manufacturer can sell x items per week at a price of p  600  4 x rupees. Production cost of x items works out to Rs.C where C  40 x  2000. How much production will yield maximum profit? (M’06) 12. Find EOQ for the data given below. Also verify that carrying costs is equal to ordering costs at EOQ. Monthly Requirements = 9000 ; Ordering cost per order = Rs.200 ; Carrying cost per unit = Rs.3.60 (M’08 ; M’10;J’11) 13. Calculate the EOQ in units and total variable cost for Annual demand 392 units , ordering cost Rs.5 and holding cost 10% of Unit price Rs.8.60. (O’09)

14. If u  x 3  y 3  z 3  3xyz, prove that x

u u u y z  3u. (M’11) x y z

15. The demand for a commodity A is q1  240  p1  6 p2  p1 p2 . Find the partial elasticity 2

Eq1 when Ep 2

p1  5 and p 2  4. (O’06)

CHAPTER : 5. APPLICATIONS OF INTEGRATION 

sin 3 x

2

Evaluate: 1.



sin 3 x  cos 3 x

0

dx. (J’08)

1

2. Evaluate :

 x1  x dx. (O’10) 5

0

10

3. Evaluate :



  4 x

10

5

 6x 3 

2  x dx. (J’10) 3 

 3x



2

4. Evaluate using properties of definite integral

2

2

 5 x 4 dx. (M’12)

5. Find the area enclosed by the parabola y 2  4 x, x  1, x  4 and the x-axis. (M’11)





6. Find the area of one loop of the curve y 2  x 2 1  x 2 between x  0 and x  1.(M’08)

7. Find the area of the circle of radius ‘a’ using integration. (J’09) 8. The marginal cost function of manufacturing x units of a commodity is 3x2 – 2x + 8. If there is no fixed cost find the total cost and average cost functions. (O’06) 9. The marginal cost function of manufacturing x units of a commodity is 6 + 10x – 6x2. Find the total cost and average cost, given that the total cost of producing 1 unit is 15. (M’10) 10. If the marginal revenue for a commodity is MR  9  6 x 2  2 x, Find the total revenue and demand function. (M’07) 11. The elasticity of demand with respect to price for a commodity is a constant and is equal to 2. Find the demand function and hence the total revenue function given that when the price is 1, the demand is 4. (M’06)

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x5 , x  5 when the demand is x ‘x’. Find the demand function if the price is 2 when demand is 7. Also find the revenue function. (J’06;J’11)

12. The elasticity of demand with respect to price p for a commodity is

375 . Find the cost of x2 producing 10 incremental units after 15 units have been produced. (O’07)

13. The marginal cost at a production level of x units is given by C ' ( x )  85 

14. For the marginal cost function MC = 5 – 6x + 3x2, x is the output. If the cost of producing 10 items is Rs.850, find the total cost and average cost function. (O’09) 15. If the marginal revenue function is R’(x) = 15 – 9x – 3x2, find the revenue function and average revenue function. (J’07 ; O’08)

3 x , x  3. If x is demand then price is p. Find the demand x function and revenue function when the price is 2 and the demand is 1. (M’09 ; O’11)

16. The elasticity of demand w.r.t. price p 

CHAPTER : 6. DIFFERENTIAL EQUATIONS 1. Find the differential equation by eliminating the arbitrary constants a and b from y  a tan x  b sec x . (J’08) 2. Form the differential equation of the family of curves y = ae3x + bex where a and b are parameters. (J’10) 3. NON-TEXTUAL: Form the differential equation of the family of curves y =ae2x + be-5x where a and b are parameters. (O’08) 4. The slope of a curve at any point is the reciprocal of twice the ordinate of the point. The curve also passes through the point (4 , 3). Find the equation of the curve. (M’08) 5. Solve : (1 – ex)sec2ydy + 3extanydx = 0 (O’09) 6. Solve : x(y2 + 1)dx + y(x2 + 1 )dy = 0. (J’09 ; O’10) 7. Solve:

dy  e 3 x  y . (M’12) dx

8. Solve: ( x  y )dy  ( x  y )dx  0. (O’07) dy y y 2   . (O’06) dx x x 2 dy x y   (M’07) 10. NON-TEXTUAL: Solve: dx y x

9. Solve: 2

11. Solve: (1  x 2 ) 12. Solve: cos x

dy  xy  1. (O’06 ; O’10 ; M’11) dx

dy  y sin x  1. (J’06) dx

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1 dy  y cos x  sin 2 x . (M’06 ; O’09 ; J’11) 2 dx dy 14. Solve: (1  x 2 )  y  1. (O’07) dx dy y 15. Solve: log x   sin 2 x. (J’09) dx x dy 16. Solve :  y cot x  cos ecx . (J’08 ; O’08 ; J’10 ; O’11) dx  dy 17. Solve the differential equation  y cot x  4 x cos ecx if y  0 when x  . (M’08) 2 dx dy 18. NON-TEXTUAL: Solve :  y cot x  sin 2 x. (J’07) dx dy 19. Solve : x  3 y  x 2 .(M’09 ; M’12) dx dy 2 xy 1   20. Solve: given that y  0 when x  1. (M’07 ; M’10) 2 dx 1  x (1  x 2 ) 2

13. Solve:

21. Solve : D 2  10 D  25y 

5  e 5 x . (M’09) 2 22. Solve : D 2  14 D  49 y  3  e 7 x . (J’11)

23. Solve :

d2y dy  4  4 y  2e 3 x . (M’10 ; O’11) 2 dx dx

24. Solve : 4 D 2  8 D  3y  e 2 . (J’07) 1

x

25. Solve : 3D 2  D  1y  0. (J’09)

26. Solve : 4 D 2  12 D  9y  0. (M’11)

27. NON-TEXTUAL: Solve : D 2  10 D  25 y  5e x . (M’06) 28. NON-TEXTUAL: Solve :

d2y dy  4  4 y  5  e  x . (J’06) 2 dx dx

CHAPTER : 7. INTERPOLATION AND FITTING A STRAIGHT LINE 1. Find the missing term from the following data: (M’08) 0 5 10 15 20 25 x: 7 11 14 -24 32 y: 2. Find the missing term from the following data: (J’06 ; M’09 ; M’10 ; J’10) 1 2 3 4 x: 100 -126 157 f(x): 3. From the following data, find f ( 3 ).(M’06;O’06;J’08;O’08;J’09;M’11;J’11;O’11;M’12) x: f(x):

1 2

2 5

3 --

4 14

5 32

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4. Find y when x  0.2 given that x: 0 1 y: 176 185

2 194

3 202

4 212

( Use Gregory – Newton’s forward formula ) (J’07 ; O’07) 5. If y75  2459 , y80  2018 , y85  1180 and y 90  402 , find y 82 . ( Use Gregory – Newton’s forward formula ) (M’07)

6. Using Lagrange’s formula find the value of y when x = 42 from the following data (O’06 ; O’10 ) x: y:

40 31

50 73

60 124

70 159

7. Using Lagrange’s formula find y( 11 ) from the following table: (M’06 ; J’11) 6 7 10 12 x: 13 14 15 17 y: 8. From the following data find the area of a circle of diameter 96 by using Gregory-Newton’s formula(J’07) 80 85 90 95 100 Diameter x: 5026 5674 6362 7088 7854 Area y: 9. From the following data find y (25) from the following table: (J’06) x: y:

20 512

30 439

40 346

50 243

10. If f (0)  5, f (1)  6, f (3)  50, f (4)  105, find f (2) by using Lagrange’s formula. (O’07 ; O’08 ; J’09 ; O’09 ; M’10) 11. Apply Lagrange’s formula to find y when x  5, given that (M’07) 1 2 3 4 7 x: 2 4 8 16 128 y: 12. Using Gregory-Newton’s formula, find y when x = 85. (M’09) 50 60 70 80 90 100 x: 184 204 226 250 276 304 y: 13. Fit a straight line to the following:  x  10 ;  y  19 ;  x 2  30 ;  xy  53 and n  5. (J’08 ; O’11 ; M’12) 14. In a line of best fit find the slope and the y – intercept if  x  10 ;  y  25 ;  x 2  30 ;  xy  90 and n  5. (J’10 ; O’10)

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15. Fit a straight line for the following data: (M’08 ; M’11) 0 1 2 3 4 x: 1 1 3 4 6 y: 16. Fit a straight line y  ax  b to the following data by the method of least squares: (O’09) x:

0

1

3

6

8

y:

1

3

2

5

4

CHAPTER : 8. PROBABILITY DISTRIBUTION 1. A random variable X has the following probability distribution values of X: x:

-2

0

5

y:

1 4

1 4

1 2

Find (i) P X  0

(ii) P X  0

(iii) P0  X  10  (O’10)

2. For the probability distribution of X x:

0

1

2

3

y:

1 6

1 2

3 10

1 10

Find (i) P X  1

(ii) P X  2

(iii) P0  X  2 (O’08)

kx2 , 0  x  10 A continuous random variable has the following p.d.f: f ( x )    0 otherwise 3. Determine k and evaluate (i) P0.2  x  0.5  (ii) P x  3. (J’06 ; M’09 ; M’11) 4. If the function f ( x ) is defined by f ( x )  ce  x , 0  x   , find the value of c. (J’08 ; O’11) 0  x 1  ax,  1 x  2 a,  5. Let X be a continuous random variable with p.d.f. f ( x)   2 x3  ax  3a,  0 otherwise (i) Determine the value of constant a (ii) Compute P X  1.5 (J’07)

6. Find the expected value of the number of heads appearing when two fair coins are tossed. (J’10) 7. Find the mean, variance and the standard deviation for the following probability distribution (J’09 ; M’12)

x: P(x)

1 0.1

2 0.3

3 0.4

4 0.2

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8. Find the mean, variance and standard deviation of the following probability distribution: (M’06 ; J’08) -3 -2 -1 0 1 2 3 1 1 1 1 1 1 1 p(x) 7 7 7 7 7 7 7 9. Find the probability that at most 5 defective fuses will be found in a box of 200 fuses if experience shows that 2% of such fuses are defective. ( e 4  0.0183 ). (M’07) X:

10. Ten coins are thrown simultaneously. Find the probability of getting at least 7 heads. (M’08 ; O’07; J’11) 11. On an average if one vessel in every ten is wrecked, find the probability that out of five vessels expected to arrive, at least four will arrive safely. (M’10) 12. A binomial distribution consisting of 5 independent trials, probabilities of 1 and 2 successes are 0.4096 and 0.2048 respectively. Find the parameter ‘p’ of the distribution. (O’06) 13. It is stated that 2% of razor blades supplied by a manufacturer are defective. A random sample of 200 blades is drawn from a lot. Find the probability that 3 or more blades are defective. (e-4 = 0.01832) (O’09)

CHAPTER : 9. SAMPLING TECHNIQUES AND STATISTICAL INFERENCE 1. A sample of five measurements of the diameter of a sphere were recorded by a scientist as 6.33, 6.37, 6.32 , 6.36 and 6.37 mm. Determine the point estimate of (a) mean, (b) variance. (M’12) 2. A random sample of size 50 with mean 67.9 is drawn from a normal population. If it is known that the standard error of the sample mean is

0.7 , find 95% confidence interval for the population mean.(J’09)

3. A random sample of 500 apples was taken from large consignment and 45 of them were found to be bad. Find the limits at which the bad apples lie at 99% confidence interval. (O’06 ; M’07 ; M’08 ; M’10 ; O’10 ; O’11) 4. A random sample of marks in Mathematics secured by 50 students out of 200 students showed a mean of 75 and a standard deviation of 10. Find the 95% confidence limits for the estimate of their mean marks. (J’10 ; M’11) 5. Out of 1000 TV viewers, 320 watched a particular programme. Find 95% confidence limits for TV watched this programme.(J’08 ; O’08 ; O’09) 6. A random sample of 50 branches of State Bank of India out of 200 branches in a district showed a mean annual profit of Rs.75 lakhs and a standard deviation of 10 lakhs. Find the 95% confidence limits for the estimate of mean profit of 200 branches. (J’06 ; J’11)

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7. Out of 10,000 customers’ ledger accounts, a sample of 200 accounts was taken to test the accuracy of posting and balancing wherein 35 mistakes were found. Find 95% confidence limits within which the number of defective cases can be expected to lie. (M’09) 8. The mean I.Q. of a sample of 1600 children was 99. Is it likely that this was a random sample from a population with mean I.Q. 100 and standard deviation 15? ( Test at 5% level of significance ) (J’07)

CHAPTER : 10. APPLIED STATISTICS 1. Solve the following, using graphical method: Maximize Z  45 x1  80 x2 subject to the constraints 5x1  20 x2  400 ;

10 x1  15 x2  450 ;

x1 , x 2  0. (M’07)

2. Solve the following, using graphical method: Maximize Z  3x1  4 x2 subject to the constraints 2 x1  x2  40 ; 2 x1  5x2  180 ; x1 , x 2  0. (O’06 ; O’07) 3. Calculate the correlation co-efficient from the data below: (J’07 ; O’08 ; M’12) X: Y:

1 9

2 8

3 10

4 12

5 11

6 13

7 14

8 16

9 15

4. Calculate the correlation co-efficient from the following data: ( J’09 ; J’10 ; O’11) N  25 ;  X  125 ,  Y  100 ,  X 2  650 ,  Y 2  436 ,  XY  520

5. Calculate the correlation co-efficient from the following data: ( J’08 ; M’11) N  11 ;  X  117 ,  Y  260 ,  X 2  1313 ,  Y 2  6580 ,  XY  2827

6. Find the regression equation of X on Y from the following data: ( O’07 ; M’09) 10 12 13 12 16 15 X: 40 38 43 45 37 43 Y: 7. Calculate the correlation coefficient from the following data: (M’06) 12 9 8 10 11 13 7 X: 14 8 6 9 11 12 3 Y: 8. Find the co-efficient of correlation for the data given below: (J’06;J’11) X:

10

12

18

24

23

27

Y:

13

18

12

25

30

10

9. From the data given below, find the correlation co-efficient: (M’08) X: Y:

46 36

54 40

56 44

56 54

58 42

60 58

62 54

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10. Find the trend values to the following data by the method of semi-average: 1982 1983 1984 1985 1986 Year: 1980 1981 102 105 114 110 108 116 112 Sales: (O’06 ; J’07 ; M’07 ; O’08 ; O’09) 11. Obtain the trend values by the method of semi-average: (J’06 ; J’08 ; M’10 ; J’10) Year Production (in tones)

1987

1988

1989

1990

1991

1992

1993

90

110

130

150

100

150

200

12. NON-TEXTUAL: Find the trend values to the following data by the method of semi-average: (J’09) Year: Sales:

1980 1981 103 105

1982 113

1983 110

1984 108

1985 116

1986 112

13. Obtain the trend values by the method of semi-average: (M’12) Year Net Profit (Rs. Lakhs)

1993

1994

1995

1996

1997

1998

1999

38

39

41

43

40

39

35

2000 25

14. Below are given figures of production (in thousand tones) of a sugar factory. Obtain the trend values by 3-year moving average. (O’10) Year Production

1980

1981

1982

1983

1984

1985

1986

80

90

92

83

94

99

92

15. NON-TEXTUAL: Using three year moving average, calculate the trend values : (M’09 ; J’11) Year Output

1978 21

1979 22

1980 23

1981 25

1982 24

1983 22

1984 25

1985 26

1986 27

1987 26

16. Construct the cost of living index number for 2003 on the basis of 2000 from the following data using family budget method: (M’08 ; O’10) Price Item

2000

2003

Weight

Food Rent Clothing Fuel and lighting Miscellaneous

200 100 150 50 100

280 200 120 100 200

30 20 20 10 20

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17. Calculate Fisher’s ideal index from the following data: (O’09) Price Commodity

Base year

A B C D

6 2 4 10

Quantity Current Base year year 50 60 100 120 60 60 30 25

Current year 10 2 6 12

18. From the following data calculate the price index number by Laspeyre’s method. (M’06) Base year Commodity A B C D

Price 5 10 3 6

Current Year

Quantity 25 5 40 30

Price 6 15 2 8

Quantity 30 4 50 35

19. Calculate the cost of living index number using family Budget method for the following data taking the base year as 1995: (M’10) Price ( per unit ) Commodity

Weight 1995

1996

A

40

16.00

20.00

B

25

40.00

60.00

C

5

0.50

0.50

D

20

5.12

6.25

E

10

2.00

1.50

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20. Calculate the cost of living index number by aggregate expenditure method : (O’11) Price ( Rs ) Commodity

Quantity 2000

2003

A

100

8

12.00

B

25

6

7.50

C

10

5

5.25

D

20

48

52.00

E

65

15

16.50

F

30

19

27.00

21. From the following data, construct Fisher’s Ideal index and show that it satisfies factor Reversal test and Time Reversal test: (J’06) Base year (1997) Commodity A B C D E F

Price 10 8 12 20 5 2

Quantity 10 12 12 15 8 10

Current Year (1998) Price 12 8 15 25 8 4

Quantity 8 13 8 10 8 6

22. Calculate Fisher’s Ideal Index from the following data: (M’11) Price

Quantity

Commodity 1985

1986

1985

1986

A

8

20

50

60

B

2

6

15

10

C

1

2

20

25

D

2

5

10

8

E

1

5

40

30

2-12th-std-business-maths-6-mark-q.pdf

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