Introduction to Statistics, Descriptive Statistics, Statistics in decision making, Graphical representation of Data Stem-and Lead plot, Box- Cox plots, measures of central tendencies and dispersion, moments of frequency distribution; Counting techniques, introduction to probability, sample space, events, laws of probability, Conditional probability and Baye’s theorem with application to random variable (Discrete and continuous) Binomial, Poisson, Geometric, Negative Binomial Distributions; Exponential Gamma and Normal distributions; Regression and Correlation, Estimation and testing of hypotheses, use of elementary statistical packages for explanatory Data analysis.
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Probability and Statistics for Engineering and the Sciences by 
Statistical Data Analysis (Oxford Science Publications by 
Probability and statistics for engineering by 
Applied Statistics and Probability for Engineers by 
Probability and statistical inference by 