Population, Sample, Parameter, Statistic,
Applications of Binomial, Poisson and Normal
Distributions, Hypothesis, Types of Hypothesis,
Level of confidence, Critical and Acceptance
Regions, Type I and II errors, confidence interval
Simple and composite hypotheses about mean(s)., proportion(s)., variance(s).,
Rregression coefficients and correlation coefficient,
P-value, power of a test and O.C. Function, Independence in contingency tables,
One and two-way analysis of variance, goodness of fit test,
Tests of normality and randomness,
Introduction to the use of one statistical packages-like MINITAB, SPSS, BMDP etc.
An Introduction to Statistical Learning by 
Statistical Methods for Health Care Research by 
Statistical Methods for Engineers by 
Statistical methods an introductory text by 
Nanparametric Statistical Methods Using R by 