course
Statistical Methods
Discrete distributions: expectations, variances, probabilities, approximations, Some discrete distributions: Uniform, Binomial, Hyper geometric, Poisson.
Some continuous distributions: Normal, t, Chi squares, F
Probabilities, tables, critical points
central limit theorem and Sampling distribution of
means, proportion, varianceone & two populations.
Point and interval estimation: Mean, Proportion, variance one and two populations.
Testing Hypothesis: Mean, Proportion, variance one and two populations. Chi-square tests.
Analysis of correlation and regression.
Analysis of variance: single factor.
Analysis of variance: complete block design.