Specific Objectives of course:
Curve Fitting: Goodness of fit, Fitting a straight line, parabola, circle.
Simple Regression: Scatter diagram, linear regression and correlation
Probability: Definitions, sample space, events. Laws of probability, conditional
Random Variable: Introduction, distribution function, discrete random variable and its probability distribution, Continuous random variable and its probability density function, Mathematical expectation of a random variable, Moment generating functions.
Probability Distribution: Binomial, Poisson, uniform, exponential and normal distribution functions and its approximation to Poisson distribution.
1. Statistical methods for engineers by McCuen, Richard Prentice Hall
2. Basic Statistics for Business & Economics by Doughlas A Lind, Irwin Publishers