Computer Oriented Statistical Methods detailed Syllabus for Master of Computer Applications(MCA), R19 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.
For all other MCA 1st Year 1st Sem Syllabus for R19 Regulation JNTUH, do visit MCA 1st Year 1st Sem Syllabus for R19 Regulation JNTUH Subjects. The detailed Syllabus for computer oriented statistical methods is as follows.
Pre-requisite:
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Objective:
The aim of the course is to understand
- The theory of Probability, and probability distributions of single and multiple random variables
- The sampling theory and testing of hypothesis and making inferences
- The regression and correlation
Course Outcomes:
At the end of the course student is able to
- Apply the concepts of probability and distributions to some case studies
- Correlate the material of one unit to the material in other units
- Resolve the potential misconceptions and hazards in each topic of study.
Unit I
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Unit II
Mathematical Expectation:Mean of a Random Variable, Variance and Covariance of Random Variables, Means and Variances of Linear Combinations of Random Variables, Chebyshevs Theorem.
Discrete Probability Distributions: Introduction and Motivation, Binomial and Multinomial Distributions, Hypergeometric Distribution, Negative Binomial and Geometric Distributions, Poisson distribution.
Unit III
Continuous Probability Distributions: Continuous Uniform Distribution, Normal Distribution, Areas under the Normal Curve, Applications of the Normal Distribution, Normal Approximation to the Binomial, Gamma and Exponential Distributions, Chi-Squared Distribution, Beta Distribution, Lognormal Distribution.
Fundamental Sampling Distributions:Random Sampling, Some Important Statistics, Sampling Distributions, Sampling Distribution of Means and the Central Limit Theorem, Sampling Distribution of S2, t -Distribution, F-Distribution.
Unit IV
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Unit V
Linear Regression and Correlation Introduction to Linear Regression, The Simple Linear Regression Model, Least Squares and the Fitted Model, Properties of the Least Squares Estimators, Inferences Concerning the Regression Coefficients, Prediction, Choice of a Regression Model, Analysis-of-Variance Approach, Test for Linearity of Regression: Data with Repeated Observations, Correlation.
Text Books:
- Probability and Statistics For Engineers and Scientists, by Ronald E. Walpole,Raymond H. Myers,Sharon L. Myers,Keying Ye.9th Ed. Pearson Pub.
Reference Books:
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For detail Syllabus of all other subjects of Master of Computer Applications 1st Year, visit MCA 1st Year Syllabus Subjects.
For all MCA results, visit JNTUH MCA all years, and semester results from direct links.