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CSIR UGC NET 2011 : MATHEMATICAL SCIENCES - MODEL / SAMPLE PAPER

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MATHEMATICAL SCIENCES This Test Booklet will contain 120 (20 Part `A +40 Part `B+60 Part C ) Multiple Choice Questions (MCQs) Both in Hindi and English. Candidates are required to answer 15 in part A , 25 in Part B and 20 questions in Part C respect ively (No. of questions to attempt may vary from exam to exam). In case any candidate answers more than 15, 25 and 20 questions in Part A, B and C respectively only first 15, 25 and 20 questions in Parts A, B and C respectively will be evaluated. Each questions in Parts `A carries two marks, Part B three marks and Part C 4.75 marks respectively. There will be negative marking @0.5 marks in Part A and 0.75 in part B for each wrong answers. Below each question in Part A and Part B , four alternatives or responses are given. Only one of these alternatives is the CORRECT answer to the question. Part C shall have one or more correct options. Credit in a question shall be given only on identification of ALL the correct options in Part C . No credit shall be allowed in a question if any incorrect option is marked as correct answer. No partial credit is allowed. MODEL QUESTION PAPER PART A May be viewed under heading General Science PART B 21. The sequence an = 1 1 1 ... 2 2 n (n 1) (2n)2 1 2 converges to 1/2 3 converges to 1/4 4 22. converges to 0 does not converge. Let xn = n 1/n and yn = (n!)1/n , n 1 be two sequences of real numbers. Then 1 (xn) converges, but (yn) does not converge 2 (yn) converges, but (xn) does not converge 3 4 23. both (xn) and (yn) converge Neither (xn) nor (yn) converges The set { x : x sin x 1 , x cos x 1 } is 1 2 a bounded open set 3 an unbounded closed set. 4 24. a bounded closed set an unbounded open set. Let f:[0,1] be continuous such that f(t) 0 for all t in [0, 1]. Define x g(x) = f (t )dt then 0 1 g is monotone and bounded 2 g is monotone, but not bounded 3 g is bounded, but not monotone 4 g is neither monotone nor bounded a 25. 1 Let f be a continuous function on [0, 1] with f(0) =1. Let G(a) = f ( x)dx a0 1 2 1 2 lim G(a) 1 3 lim G(a) 0 4 26. lim G(a) The limit lim G(a) dose not exist Let a 0 a 0 a 0 a 0 n = sin ( 1 ) , n = 1,2, . Then n2 1 n 1 n converges 2 lim sup n lim inf n 3 lim n 1 n n n 4 n 1 n diverges 27. If, for x , (x) denotes the integer closest to x (if there are two such 12 integers take the larger one), then ( x)dx equals 10 1 2 11 3 20 4 28. 22 12 Let P be a polynomial of degree k > 0 with a non-zero constant term. Let fn(x) x = P( ) x (0, ) n x (0, ) 1 2 x (0, ) such that lim f n ( x) > P(0) 3 lim f n ( x) =0 4 29. lim f n ( x) lim f n ( x) = P(0) n n n n x (0, ) x (0, ) Let C [0, 1] denote the space of all continuous functions with supremum norm. 1 Then, K = f [0,1]: lim f = 0 is a n n 1. vector space but not closed in C[0,1]. 2. closed but does not form a vector space. 3. a closed vector space but not an algebra. 4. a closed algebra. 30. Let u, v, w be three points in 3 not lying in any plane containing the origin. Then 1 1 u + 2 v + 3 w = 0 => 1 = 2 = 3 = 0 2 u, v, w are mutually orthogonal 3 one of u, v, w has to be zero 4 u, v , w cannot be pairwise orthogonal 31. Let x, y be linearly independent vectors in 2 suppose T: 2 2 is a linear transformation such that Ty = x and Tx =0 Then with respect to some basis in 2 , T is of the form 1 2 a 0 , 0 b 3 0 1 0 0 4 32. a 0 , a > 0 0 a 0 0 0 0 a , b > 0; a b Suppose A is an n x n real symmetric matrix with eigenvalues 1 , 2 ,..., n then n 1 i 1 i n 2 i 1 i n 3 i 1 4 33. i det( A) det( A) det( A) if det( A) 1 then j 1 for j =1, n. Let f be analytic on D = { z : |z | < 1} and f(0) =0 . Define f ( z) ; z 0 g ( z) z f (0); z 0 Then 1 g is discontinuous at z = 0 for all f 2 g is continuous, but not analytic at z = 0 for all f 3 g is analytic at z = 0 for all f 4 g is analytic at z = 0 only if f ' (0) = 0 34. Let be a domain and let f(z) be an analytic function on such that |f(z)| = | sin z | for all z then 1 f(z) = sin z for all z 2 f(z) = sin z 3 there is a constant c with |c| = 1 such that f(z) = c sin z for all z . for all z 4 35. such a function f(z) does not exist The radius of convergence of the power series (4n 4 n3 3) zn is n 0 1 2 1 3 5 4 36. 0 Let be a finite field such that for every a the equation x2 =a has a solution in . Then 1 2 must have a square number of elements 3 the order of is a power of 3 4 37. the characteristic of must be 2 must be a field with prime number of elements Let be a field with 512 elements. What is the total number of proper subfields of ? 1 3 2 6 3 8 4 5 38. Let K be an extension of the field Q of rational numbers 1 2 If K is an algebraic extension then it must be a finite extension 3 If K is an algebraic extension then it must be an infinite extension 4 39. If K is a finite extension then it is an algebraic extension If K is a finite extension then it need not be an algebraic extension Consider the group S9 of all the permutations on a set with 9 elements. What is the largest order of a permutation in S9 ? 1 2 20 3 30 4 40. 21 14 Suppose V is a real vector space of dimension 3. Then the number of pairs of linearly independent vectors in V is 1 2 infinity 3 e3 4 41. one 3 Consider the differential equation dy y 2 , ( x, y ) . dx Then, 1. all solutions of the differential equation are defined on ( , ). 2. 3. 4. 42. no solution of the differential equation is defined on ( , ). the solution of the differential equation satisfying the initial condition 1 y(x0) = y0, y0 > 0, is defined on , x0 . y0 the solution of the differential equation satisfying the initial condition 1 , . y(x0)=y0, y0>0, is defined on x0 y0 The second order partial differential equation 1 xy 1. 2. 2u 2u 2u 2 1 xy 0 is x 2 x y y 2 hyperbolic in the second and the fourth quadrants elliptic in the first and the third quadrants 3. 4. 43. hyperbolic in the second and elliptic in the fourth quadrant hyperbolic in the first and the third quadrants A general solution of the equation u ( x, y ) e x f ( y ) 1. 2. 3. 4. 44. u ( x, y ) + u ( x, y ) = e- x is x u ( x, y ) e x f ( y ) xe x u ( x, y ) e x f ( y ) xe x u ( x, y ) e x f ( y ) xe x Consider the application of Trapezoidal and Simpson s rules to the following integral 4 (2 x 3 3x 2 5 x 1)dx 0 1. 2. 3. 4. 45. Both Trapezoidal and Simpson s rules will give results with same accuracy. The Simpson s rule will give more accuracy than the Trapezoidal rule but less accurate than the exact result. The Simpson s rule will give the exact result. Both Trapezoidal rule and Simpson s rule will give the exact results. The integral equation g(x)y(x)=f(x)+ k(x,t)y(t)dt with f(x), g(x) and k(x,t) as known functions, and as known constants, and as a known parameter, is a 1. 2. 3. 4. linear integral equation of Volterra type linear integral equation of Fredholm type nonlinear integral equation of Volterra type nonlinear integral equation of Fredholm type b 46. Let y(x) = f(x)+ k(x,t)y(t)dt , where f(x) and k(x,t) are known functions, a a and b are known constants and is a known parameter. If i be the eigenvalues of the corresponding homogeneous equation, then the above integral equation has in general, 1. 2. 3. 4. 47. many solutions for i no solution for i a unique solution for = i either many solutions or no solution at all for = i, depending on the form of f(x) The equation of motion of a particle in the x-z plane is given by dv v k dt with v k , where = (t) and k is the unit vector along the z-direction. If initially (i.e., t = 0) = 1, then the magnitude of velocity at t = 1 is 1. 2. 3. 4. 48. 2/e (2+e)/3 (e 2)/e 1 Consider the functional /2 F (u, v) 0 du 2 dv 2 2u ( x)v( x) dx dx dx with u(0) 1, v(0) 1 and u 0, v 0 . 2 2 Then, the extremals satisfy 1. 2. 3. 4. 49. u ( ) 1, v( ) 1 u( ) v( ) 0, u( ) v( ) 2 u(p ) = - 1, v(p ) = 1 u( ) v( ) 2, u( ) v( ) 0 The pairs of observations on two random variables X and Y are X : 2 5 7 11 13 19 Y : 0 15 25 45 55 85 Then the correlation coefficient between X and Y is 1 2 1/5 3 1/2 4 50. 0 1 Let X1, X2, X3 be independent random variables with P(Xi = +1) = P(Xi = -1) = 1/2. Let Y1 = X2X3, Y2 = X1X3 and Y3 = X1X2. Then which of the following is NOT true? 1. Yi and Xi have same distribution for i = 1, 2, 3 2. (Y1, Y2, Y3) are mutually independent 3. X1 and (Y2, Y3) are independent 4. (X1, X2) and (Y1, Y2) have the same distribution 51. Let X be an exponential random variable with parameter . Let Y = [X] where [x] denotes the largest integer smaller than x. Then 1. 2. Y has a Geometric distribution with parameter 1 - e - l . 3. Y has a Poisson distribution with parameter 4. 52. Y has a Geometric distribution with parameter . Y has mean [1/ ] Consider a finite state space Markov chain with transition probability matrix P=((pij)). Suppose pii =0 for all states i. Then the Markov chain is 1. 2. may be reducible and may have period > 1. 3. may be reducible but period is always 1. 4. 53. always irreducible with period 1. always irreducible but may have period > 1. Let X1, X2, . Xn be i.i.d. Normal random variables with mean 1 and variance 1. and let Zn = (X 12 +X2 + . +Xn )/n Then 1. Zn converges in probability to 1 2. Zn converges in probability to 2 3. Zn converges in distribution to standard normal distribution 4. 54. Zn converges in probability to Chi-square distribution. Let X1, X2, . Xn be a random sample of size n ( 4) from uniform (0, ) distribution. Which of the following is NOT an ancillary statistic? 1. X ( n) X (1) 2. Xn X1 3. X 4 X1 X3 X2 4. X ( n ) X (1) 55. Suppose X1, X2, Xn are i.i.d, Uniform (0,q ), {1, 2....} . Then the MLE of is 1. 2. X 3. [X(n)] where [a] is the integer part of a. 4. 56. X(n) [X(n)+1] where [a] is the integer part of a. Let X1, X2, ., Xn be independent and identically distributed random variables with common continuous distribution function F(x). Let Ri = Rank(Xi), i= 1, 2, , n. Then P ( | Rn R1 | n-1) is 1. 2. 1 n(n 1) 3. 2 n(n 1) 4. 57. 0 1 n A simple random sample of size n is drawn without replacement from a population of size N (> n). If i (i=1,2, N) and p i j (i j. i, j =1, 2, N) denote respectively, the first and second order inclusion probabilities, then which of the following statements is NOT true? N 1 pi = n i =1 N 2 p i j = ( n - 1)p i j i 3 4 58. p ip j p i j for each pair ( i, j) p i j < p i for each pair ( i, j) . Consider a balanced incomplete block design with usual parameters v, b, r , k ( 2) , . Let ti be the effect of the ith treatment (i = 1, 2, ,v) and 2 denote the variance of an observation. Then the variance of the best linear v unbiased estimator of piti where i 1 v pi 0 and i 1 v p i 1 i 2 1 , under the intra-block model, is 1 v k 2 2 2 3 4 59. 2 r k v 2k v 2 2 An aircraft has four engines two on the left side and two on the right side. The aircraft functions only if at least one engine on each side functions. If the failures of engines are independent, and the probability of any engine failing in equal to p, then the reliability of the aircraft is equal to 1. p 2 (1 p 2 ) 2. 3. (1 - p 2 ) 2 4. 60. 4 C2 p 2 (1 - p ) 2 1 (1 p 2 ) 2 A company maintains EOQ model for one of its critical components. The setup cost is k , unit production cost is c , demand is a units per unit time, and h is the cost of holding one unit per unit time. In view of the criticality of the component the company maintains a safety stock of s units at all times. The economic order quantity for this problem is given by. 1. 2. 2ak +s h s+ 2ak h 3. 2ak h 4. 2ak + s h PART C 61. Suppose {an}, {bn} are convergent sequences of real numbers such that an > 0 and bn > 0 for all n. Suppose lim an a and lim bn b . Let cn = an/bn. Then n 1. 2. 3. 4. n {cn} converges if b > 0 {cn} converges only if a = 0 {cn} converges only if b > 0 lim sup cn = if b = 0. n 62. Consider the power series an x n n 0 where a0 = 0 and an = sin(n!)/n! for n 1. Let R be the radius of convergence of the power series. Then 1. 2. 3. 4. 63. Suppose f is an increasing real-valued function on [0, ) with f(x)> 0 x and let 1x g ( x) f (u ) du; 0 x . x0 Then which of the following are true: 1. 2. 3. 4. 64. R 1 R 2 R 4 R . g(x) f(x) for all x (0, ) xg(x) f(x) for all x (0, ) xg(x) f(0) for all x (0, ) yg(y) xg(x) (y-x)f(y) for all x < y. Let f: [0, 1] be defined by x cos( /(2 x)) if x 0, f ( x) if x 0. 0 Then 1. 2. 3. 4. 65. f is continuous on [0, 1] f is of bounded variation on [0, 1] f is differentiable on the open interval (0, 1) and its derivative f is bounded on (0,1) f is Riemann integrable on [0, 1]. For any positive integer n, let fn : [0, 1] be defined by f n ( x) x for x [0,1]. nx 1 Then 1. the sequence {fn} converges uniformly on [0, 1] 2. the sequence { f n } of derivatives of {fn} converges uniformly on [0, 1] 3. 4. 66. 1 the sequence f n ( x )dx is convergent 0 1 the sequence f n ( x )dx is convergent. 0 Let f: [0, ) and g : [0, ) be continuous functions f ( x) 0 t 2 dt x 3 (1 x) 2 and x 2 (1 x ) 0 satisfying g (t )dt x for all x [0, ). Then f(2) + g(2) is equal to 1. 2. 3. 4. 67. 0 5 6 11. Consider f: 2 defined by f(0, 0) = 0 and x2 y for (x, y) (0, 0). x4 y 2 Then which of the following statements is correct? f(x, y) = 1. 2. 3. 4. 68. Both the partial derivatives of f at (0, 0) exist The directional derivative Du f(0, 0) of f at (0, 0) exists for every unit vector u f is continuous at (0, 0) f is differentiable at (0, 0). Let f: 2 and g: 2 be defined by f(x, y) = |x| + |y| and g(x, y) = |xy|. Then 1. 2. 3. 4. 69. f is differentiable at (0, 0), but g is not differentiable at (0, 0) g is differentiable at (0, 0), but f is not differentiable at (0,0) Both f and g are differentiable at (0, 0) Both f and g are continuous at (0, 0). Decide for which of the functions F : 3 3 given below, there exists a function f : 3 such that ( f )( x) F ( x). 1. (4xyz z2 3y2, 2x2z 6xy+1, 2x2y 2xz 2) 2. (x, xy, xyz) 3. (1,1,1) 4. (xyz, yz, z). 70. Let f: n be the function defined by the rule f(x) = and x.b denotes the usual inner product. Then x.b, where b n 3. [ f (x)] (b) = b b x. x [ f (x)] (x) = , x n 2 [ f (0)](e1) = b.e1, where e1 = (1, 0, ,0) n. 4. [ f (e1)](ej) = 0, j 1, where ej = (0, ,1, 0) with 1 in the jth slot. 1. 2. 71. Consider the subsets A and B of 2 defined by 1 A x, x sin : x (0,1] and B A {(0,0)}. x Then 1. A is compact 2. A is connected 3. B is compact 4. B is connected. 72. Lef f = be a continuous function.Which of the following is always true? 1. f -1(U) is open for all open sets U 2. f -1(C) is closed for all closed sets C 3. f -1 (K) is compact for all compact sets K 4. f -1 (G) is connected for all connected sets G . 73. Let A be an n n matrix, n 2, with characteristic polynomial xn-2(x2 1). Then 1. An = An 2 2. Rank of A is 2 3. Rank of A is at least 2 4. There exist nonzero vectors x and y such that A(x + y) = x y. 74. Let A, B and C be real n n matrices such that AB +B2 = C. Suppose C is nonsingular. Which of the following is always true? 1. 2. 3. 4. A is nonsingular B is nonsingular A and B are both nonsingular A + B is nonsingular. 75. Let V be a real vector space and let {x1, x2, x3} be a basis 1. 2. 3. 4. 76. 4. 79. V is a vector space of dimension n2 n For every A in V, aii = 0 for all i = 1,2, , n V consists of only diagonal matrices n2 n V is a vector space of dimension . 2 Let W be the set of all 3 3 real matrices A = (aij) with the property that aij = 0 if i > j and aii = 1 for all i. Let B = (bij) be a 3 3 real matrix that satisfies AB = BA for all A in W. Then 1. Every A in W has an inverse which is in W. 2. b12 = 0 3. b13 = 0 4. b23 = 0. Let f(z) be an entire function with Re(f(z) ) 0 for all z . Then 1. 2. 3. 4. 80. There is at least one solution There is at least one solution if b is the zero vector If m = n and if the rank of A is n, then there is a unique solution If m < n and if the rank of the augmented matrix [A: b] equals the rank of A, then there are infinitely many solutions. Let V be the set of all real n n matrices A = (aij) with the property that aij = aji for all i, j = 1, 2, ,n. Then 1. 2. 3. 78. {x1 + x2, x2, x3} is a basis for V The dimension of V is 3 x1, x2, x3 are pairwise orthogonal {x1 x2, x2 x3, x1 x3} is a basis for V. Consider the system of m linear equations in n unknowns given by Ax = b, where A= (aij) is a real m n matrix, x and b are n 1 column vectors. Then 1. 2. 3. 4. 77. for V. Then Im (f(z)) 0 for all z Im (f(z)) = a constant f is a constant function Re(f(z)) = |z| for all z . Let f be an analytic function defined on D = {z |z| < 1} such that |f(z)| 1 for all z D. Then 1. 2. 3. there exists z0 D such that f(z0) = 1 the image of f is an open set f(0) = 0 4. 81. f is necessarily a constant function. Let f ( z ) 1. 2. 3. sin z cos z . Then z2 z f has a pole of order 2 at z = 0 f has a simple pole at z = 0 f ( z)dz 0 , where the integral is taken anti-clockwise |z| 1 4. 82. the residue of f at z = 0 is -2 i. Let f be an analytic function defined on D = { z : |z| <1}.Then g : D is analytic if 1. g(z) = f ( z ) for all z D 2. 3. g(z) = f ( z) for all z D 4. 83. g(z) = f ( z ) for all z D g(z) = i f ( z ) for all z D. Which of the following statements involving Euler's function is/are true? 1. 2. 3. 4. 84. (n) is even as many times as it is odd (n) is odd for only two values of n (n) is even when n > 2 (n) is odd when n = 2 or n is odd. Let p be a prime number and d | ( p 1) . Then which of the following statements about the congruence xd 1 (mod p) is/are true? 1. 2. 3. 4. It does not have any solution It has at most d incongruent solutions It has exactly d incongruent solutions It has at least d incongruent solutions. 85. Let K be a field, L a finite extension of K and M a finite extension of L. Then 1. [M:K] = [M:L] + [L:K] 2. [M:K] = [M:L] [L:K] 3. [M:L] divides [M:K] 4. [L:K] divides [M:K] . 86. Let R be a commutative ring and R[x] be the polynomial ring in one variable over R. 1. 2. 3. 4. If R is a U.F.D., then R [x] is a U.F.D. If R is a P.I.D., then R [x] is a P.I.D. If R is an Euclidean domain, then R[x] is an Euclidean domain If R is a field, the R[x] is an Euclidean domain. 87. Let G be a group of order 56. Then 1. 2. 3. 4. 88. Which of the following statements is/are true? 1. 2. 3. 4. 89. All 7-sylow subgroups of G are normal All 2-Sylow Subgroups of G are normal Either a 7-Sylow subgroup or a 2-Sylow subgroup of G is normal There is a proper normal subgroup of G. 50! ends with an even number of zeros 50! ends with a prime number of zeros 50! ends with10 zeros 50! ends with 12 zeros. Let X = {(x, y) 2 x2 + y2 = 1} Y = {(x, y) 2 |x| + |y| = 1}, and Z = {(x, y) 2 x2 y2 = 1}. Then 1. X is not homeomorphic to Y 2. Y is not homeomorphic to Z 3. X is not homeomorphic to Z 4. No two of X, Y or Z are homeomorphic. 90. Let 1, 2 and 3 be topologies on a set X such that 1 2 3 and (X, 2) is a compact Hausdorff space. Then 1. 2. 1 = 2 if (X, 1) is a compact space 3. 2 = 3 if (X, 3) is a Hausdorff space 4. 91. 1 = 2 if (X, 1) is a Hausdorff space 2 = 3 if (X, 3) is a compact space. The initial value problem x t 3x2 / 3 , x(0) 0 ; in an interval around t = 0, has 1. 2. a unique solution 3. finitely many linearly independent solutions 4. 92. no solution infinitely many linearly independent solutions. For the system of ordinary differential equations: d dt x1 (t ) 0 1 x1 (t ) , x2 (t ) 1 0 x2 (t ) 1. 2. every solution is periodic 3. there exists a bounded solution 4. 93. every solution is bounded there exists a non periodic solution. The kernel p x, y y y 2 x2 is a solution of 1. 2. the wave equation 3. the Laplace equation 4. 94. the heat equation the Lagrange equation. The solution of the Laplace equation on the upper half plane, which takes the value x e x on the real line is 1. 2. the imaginary part of an analytic function 3. the absolute value of an analytic function 4. 95. the real part of an analytic function an infinitely differentiable function. Which of the following polynomials interpolate the data x 1 1/2 3 y 3 -10 2 53 (x ) (x ) 5 1. 3 +26 (x 1) 2. 1 1 3 (x 1) (x ) 1 10(x ) (x 3) + 10 (x 3) (x 1) 2 2 3. 1 2 1 3(x ) (x 3) 8 (x 1) (x 3)+ (x 1)(x ) 2 5 2 4. (x 3) (x +10) + 1 (x +10) (x 2) +3 (x 2) (x 3). 2 96. The evaluation of the quantity x 1 1 near x = 0 is achieved with minimum loss of significant digits if we use the expression 1. 2. 3. 4. x 1 1 x x 1 1 1 1 x 1 x 1 x 2 x 1 . x 1 1 b 97. 1 . If x(t) is an extremal of the functional m( x) 2 cx 2 dt , where a, b,c are 2 a . arbitrary constants and x = dx/dt, satisfies then the function 1. mx 2cx 0 2. mx 2cx 0 3. m( x) 2 2cx 2 k1 with k1 as an arbitrary constant 4. x(t ) k1 sin( x(t) . 98. 2c t k2 ) with k1 and k2 as arbitrary constants. m If u(x) and v(x) satisfying u(0) = 1, v(0) = 1, u ( /2) = 0 and v(( /2)=0 are dv dx du dx 2 the extremals of the functional 2 0 1. u( ) v( ) 1 4 4 4. 99. u( ) v( ) 0 3 3 3. 2uv dx, then u( ) v( ) 0 4 4 2. 2 u( ) v( ) 0 . 3 3 1 Consider the integral equation y ( x) x 2 xty (t )dt , where is a real parameter. Then the Neumann series for the integral equation converges for all values of 1. except for =3 2. lying in the interval -3 < < 0 3. lying in the interval -3 < < 3 4. lying in the interval 0 < < 3. 1 100. 5x 1 The solution of the integral equation ( x) xt (t )dt satisfies 6 2 0 1. 2. + =1 2 3 3. + =1 4 2 4. 101. (0) + (1)=1 + =1. 4 4 1 1 1 1 3 1 A particle of unit mass is constrained to move on the plane curve xy=1 under gravity g. Then 12 ( x y2 ) 2 1. 2. the potential energy of the system is 3. the Lagrangian of the particle is 12 g x 1 x 4 2 x 4. 102. the kinetic energy of the system is the Lagrangian of the particle is 12 g x 1 x 4 . 2 x g x Suppose a mechanical system has the single coordinate q and Lagrangian 1 2 q2 L q . Then 4 9 1. the Hamiltonian is p2+( q2 ) 9 2. 3. q satisfies q (4 / 9)q 0 4. 103. Hamilton s equations are q 2 p, p (2 / 9)q the path in the Hamiltonian phase-space, i.e. q p plane is an ellipse. Let X1, ., Xn be i.i.d. observations from a distribution with variance 2 . Which of the following is/are unbiased estimator(s) of 2 ? 2 1. 1n Xi X n 1 i 1 2. 1n Xi X n i 1 3. n 1 n Xi X j 2 2 i 1 j n 4. 2 1n 2 X i nX . n i 1 1 2 2 n 104. Let X1,X2, be i.i.d. N(0,1) and let Sn = Xi be the partial sums. i 1 Which of the following is/are true? 1. 2. S E n 0 n 3. S Var n 0 n 4. 105. Sn 0 almost surely n S2 Var n 0 2 n Let (X, Y) be a pair of independent random variables with X having exponential distribution with mean 1 and Y having uniform distribution on {1,2, ,m}. Define Z=X+Y. Then 1. E(Z|X) = X + m 1 2 m 1 2 2. 3. m2 1 Var (Z|X) = 2 4. 106. E(Z|Y) = 1+ Var (Z|Y) = 2. A simple symmetric random walk on the integer line is a Markov chain which is 1. 2. null recurrent 3. irreducible 4. 107. recurrent positive recurrent. Suppose X and Y are random variables with E(X) = E(Y) =0, V(X)=V(Y)=1 and Cov (X,Y) = 0.25. Then which of the following is/are always true? 1. 4 16 2. P { |X+2Y| 4} 5 16 3. P { |X+2Y| 4} 6 16 4. 108. P { |X+2Y| 4} P { |X+2Y| 4} 7 . 16 Let X1, ., Xn be a random sample from uniform , 1 distribution. Which of the following is/are maximum likelihood estimator(s) of ? 1. X(1) 2. X(n) 3. X(n)-1 4. X ( n ) X (1) 2 0.5 . 109. Let X (X1, ,Xn ) be a random sample from uniform (0, ). Which of the following is/are uniformly most powerful size 0 1 2 test(s) for testing H0: = o against H1: > o? 1. 1 ( X ) 1, if X(n) > 0 or X(n) < o 1/n = 0, otherwise 2. 2 ( X ) 1, if X(n) > 0 = , if X(n) 0 3. 3 ( X ) 1, if X(n) > 0 = 0, if X(n) 0 4. 1/n 1/n 4 ( X ) 1, if X(n) < 0 ( / 2) 1/n or X(n) > 0 (1 / 2)1/ n = 0, otherwise 110. Suppose X p 1 has a Np( O, I p ) distribution. The distribution of X T A X is chi square with r degrees of freedom only if 1. 2. Trace (A) = Rank (A) = r 3. A is positive definite 4. 111. A is idempotent with rank r A is non-negative definite with rank r. Let X1, X2, , Xm be iid random variables with common continuous cdf F(x). Also let Y1, Y2, ..,Yn be iid random variables with common continuous cdf G(x) and X s & Y s are independently distributed. For testing Ho: F(x) = G(x) for all x against H1: F(x) G(x) for at least one x, which of the following test is/are used? 1. Wilcoxon signed rank test 2. Kolmogorov-Smirnov test 3. Wald-Wolfowitz run test 4. Sign test. 112. Random variables X and Y are such that E(X)=E(Y) = 0, V(X)=V(Y)=1, correlation (X,Y) = 0.5. Then the 1. conditional distribution Y given X = x is normal with mean 0.5x and variance 0.75 2. 3. least-squares linear regression of X on Y is x = 0.5y and of Y on X is y = 2x. 4. 113. least-squares linear regression of Y on X is y=0.5x and of X on Y is x=2y least-squares linear regression of Y on X is y=0.5x and of X on Y is x = 0.5y. X has a binomial (5,p) distribution on which an observation x=4 has been made. In a Bayesian approach to the estimation of p, a beta (2,3) prior distribution (with density proportional to p(1-p)2) has been formulated. Then the posterior 1. 2. mean of p is 3. distribution of p is beta (6,4) 4. 114. distribution of p is uniform on (0.1) distribution of p is binomial (10,0.5). 6 10 In a study of voter preferences in an election, the following data were obtained Gender Party voting for C Total B Male 250 250 500 Female 250 250 500 Total 500 500 1000 Then the 1. chi-square statistic for testing no association between party and gender is 0. 2. expected frequency under the hypothesis of no association is 250 in each cell. 3. log-linear model for cell frequency mij, log(mij) = constant, i,j=1,2, fits perfectly to the data. 4. chi-square test of no gender-party association with 1 degree of freedom has a p-value of 1. 115. Let X,Y and N be independent random variables with P(X=0) = =1-P(X=1) and Y following Poisson with parameter 0 and N following normal with mean 0 and variance 1. Define Y if X 0 Z N if X 1 Then, the characteristic function of Z is given by 1. 1 1 it 1 eit t 2 / 2 e e e 2 2 2. e 3. 4. 116. e t 2 / 2 e t 2 / 2 1 eit e 1 eit 2 1 eit t 2 / 2 e 1 1 it e . e 2 2 2 A simple random sample of size n is drawn from a finite population of N units, with replacement. The probability that the ith (1 i N) unit is included in the sample is 1. n/N 2. 1 1 1 N n N 1 N n(n 1) . N ( N 1) n 3. 4. 117. Under a balanced incomplete block design with usual parameters v, b, r, k, , which of the following is/are true? 1. 2. 3. 4. All treatment contrasts are estimable if k 2 The variance of the best linear unbiased estimator of any normalized treatment contrast is a constant depending only on the design parameters and the per observation variance The covariance between the best linear unbiased estimators of two mutually orthogonal treatment contrasts is strictly positive The variance of the best linear unbiased estimator of an elementary treatment contrast is strictly smaller than that under a randomized block design with replication r. 118. Consider a randomized (complete) block design with v (>2) treatments and r ( 2) replicates. Which of the following statements is/are true? 1. 2. The design is connected The variance of the best linear unbiased estimator (BLUE) of every normalized treatment contrast is the same The BLUE of any treatment contrast is uncorrelated with the BLUE of any contrast among replicate effects The variance of the BLUE of any elementary treatment contrast is 2 2/r, where 2 is the variance of an observation. 3. 4. 119. The starting and optimal tableaus of a minimization problem are below. The variables are x1, x2 and x3. The slack variables are S1 and S2. given Starting Tableau Z Z1 S1 0 S2 0 x1 a b -1 x2 1 2 2 x3 -3 2 -1 S1 0 1 0 S2 0 0 1 RHS 0 6 1 Optimal Tableau Z x1 S2 Z 1 0 0 x1 0 c d x2 -1/3 2/3 8/3 x3 -11/3 2/3 -1/3 S1 -2/3 1/3 1/3 S2 0 0 1 RHS -4 e 3 Which of the following are the correct values of the unknowns a, b, c, d and e 1. 2. 3. 4. 120. a = 2, b = 3, c = 1, d = 0, e = 2 a = 2, b = -3, c = 1, d = 0, e = -2 a = -2, b = 3, c = 1, d = 0, e = 2 a = -2, b = 3, c = -1, d = 0, e = 2 Consider the following linear programming problem. Minimize Z = x1 + x2 subject to sx1 + tx2 1 x1 0 x2 unrestricted. The necessary and sufficient condition to make the LP 1. 2. 3. 4. feasible is s 0 and t = 0 unbounded is s > t or t < 0 have a unique solution is s = t and t > 0 have a finite optimal solution is x2 0.

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