Course Summary
Data collection, organization, classification & tabulation; Diagrammatic representations; Central tendency; Dispersion, Skewness & Kurtosis; Probability, pdf, df ; Theoretical distributions ( Binomial, Poisson & Normal ); Sampling, sampling distributions, Standard error & estimation; Hypothesis testing, Significance tests Large samples, small samples, Chi-square tests, F tests; ANOVA, ANCOVA; Non Parametric Tests, correlation & Regression; Time series alalysis; Index Numbers; Any other topics of requirements
What you will learn?