Practicing Statistics concepts using R
Concepts include
->calculus-based probability theory and stochastic simulations.
->one and two-sample methods of statistical inference.
->one-way/r -sample Gaussian models and methods of statistical inference.
->classical (ordinary least squares) methods of multiple linear regression analysis and associated inference.
->simple likelihood-based methods of non-linear regression and logistic regression and associated statistical inference.
->classical methods of statistical inference for factorial studies.
->basic methods (prediction and classification) of modern supervised statistical machine learning.