Statistics and Probability (V-U)

Chi-Square Test, p-value & Latest Definition of Statistics (V-U)

Analysis of Variance & Experimental Design (V-U)

Application of Addition Theorem,Conditional Probability & Multiplication Theorem (V-U)

Bayes’ Theorem,Discrete Random Variable (V-U)

Binomial Distribution,Introduction to the Hypergeometric Distribution (V-U)

Box and Whisker Plot,Pearson’s Coefficient of Skewness (V-U)

Chebychev’s Inequality & Concept of Continuous Probability Distribution (V-U)

Chebychev’s Inequality,The Empirical Rule & The Five-Number Summary (V-U)

Large Sample Confidence Intervals,Determination of Sample Size & Hypothesis-Testing (V-U)

Confidence Interval (V-U)

Mean Deviation,Standard Deviation and Variance & Coefficient of variation (V-U)

Measures of Dispersion (V-U)

Continous variable (V-U)

Continuous Probability Distribution ,Bivariate Probability Distribution (V-U)

Median (V-U)

Data Representation (V-U)

Methods of data collection and sampling (V-U)

Definitions of Probability (V-U)

Normal Distribution (V-U)

Distributions BIVARIATE Probability ,Properties of Expected Values in the case of Bivariat (V-U)

Pearsonian co-efficient of Skewness (V-U)

Permutations,Combinations (V-U)

Frequency curve and distribution (V-U)

Geometric mean,Harmonic mean & relationship between them (V-U)

Properties of Expected Values,Covariance & Correlation& Discrete Probability Distributions (V-U)