First Year

 

This course introduces different methods of data collection and the suitability of using a particular method for a given situation. It includes a coverage and discussion of the relationship of probability to statistics, probability distributions of random variables and their uses, linear functions of random variables within the context of their application to data analysis and inference, estimation techniques for unknown parameters, and hypothesis testing used in making inferences from sample to population, inference for regression parameters, and building models for estimating means and predicting values of key variables under study. 

 

Statistically based experimental design techniques and analysis of outcomes of experiments are discussed with the aid of statistical software.