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previous year, last year, sample question paper for : [Statistical & Numerical Methods using C++] MC0074. Find question and answer for PartA 2 marks, PartB 4 Marks and PartC 8 marks.
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Statistical & Numerical Methods using C++ , MC0074 question paper includes multiple choice options and answer also. 


SMU >> MCA >> MC0074
Statistical & Numerical Methods using C++
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Sikkim Manipal University (SMU) question paper for MCA  Statistical & Numerical Methods using C++. It will help you
to prepare your examination. All questions are
classified as per question type like PART  A of 2 marks,
PART  B of 4 marks and PART  C of 8 marks same as actual examination. SMU question paper set which includes
year 2018, 2017, 2016
SMU question papers of Statistical & Numerical Methods using C++ are updated
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paper includes multiple choice question and answer as same
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for your final SMU examination.

Sikkim Manipal University
SMU
Question Paper
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1. BCA 2. MCA 3. BSc IT 4. MSc IT 5. MBA
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Course Name
MCA (Master of Computer Application)
Subject Code MC0074 (Statistical & Numerical Methods using C++)
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PART  A
PART  B
PART  C
Statistical & Numerical Methods using C++ Syllabus.
Part 1: Probability
Introduction; Features of random experiment; Definition of some basic terms;
Conditional probability; Baye‘s theorem.
Part 2: Random Variables
Introduction; Onedimensional random variable; Discrete and continuous
random variable; Mathematical expectation and variance; Twodimensional random
variable; Marginal and conditional probability distribution; Correlation
coefficient; Covariance.
Part 3 : Distribution
Introduction; Bernoulli trials; Poisson distribution; Normal distribution;
Uniform distribution; Exponential distribution; Gamma distribution; Chisquare
distribution.
Part 4: MGF, Sampling theory and estimation
Introduction; Moment generating function; Functions of random variable;
Sampling theory; Point estimation.
Part 5: Statistics
Introduction; Graphical representation; Measures of central tendency;
Moments; Skewness; Kurtosis; Curve fitting; Regression.
Part 6: Stochastic process, Marcovchains
Introduction; Stochastic process; Classification of stochastic process;
Bernoulli Poisson process; Markov chains.
Part 7: Errors in Numerical Calculations
Introduction; Accuracy and Significant digit; Rounding off numbers to
significant digits; Errors and their computation; Absolute, relative and
percentage errors.
Part 8: Matrices and Linear System of Equations
Introduction; Different type of matrices; Operations on matrices;
Determinant of matrices; Rank of a matrix; Solution to a system of linear
equations; Eigen values and Eigen vectors.
Part 9: Solution of Algebraic and Transcendental Equations
Introduction; Bisection method; Method of false position; Iteration method;
NewtonRaphson method; Generalized Newton method.
Part 10: Interpolation
Introduction; Finite differences; Newton‘s forward and backward difference
interpolation formulae; Lagrange‘s interpolation formula; Divided differences.
Part 11: Numerical Differentiation and Integration
Introduction; Numerical differentiation; Derivatives using Newton‘s forward
and backward difference interpolation formulae; Numerical integration.
Part 12: Numerical Solution of Ordinary Differential Equation
Introduction; Initial value problem; Taylor‘s series method; Euler‘s method;
Modified Euler‘s method; RungeKutta method of second and fourth order.
Part 13: Introduction to Mathematical Software used for Numerical Analysis
Introduction to MATLAB: Key Features of MATLAB, History of MATLAB, Syntax of
MATLAB, Variables, Vectors/Matrices, Semicolon, Graphics, Limitations, Lab
Exercise, Numerical Algorithms Group (NAG).


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PART  A
PART  B
PART  C
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