**This course introduces different methods of data collection and the suitability of
using a particular method for a given situation. It includes coverage and discussion
of the relationship of probability to statistics, probability distributions of
random variables and their uses, linear functions of or 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 a sample to the population, inference for regression parameters and
build models for estimating means and predicting future values of key variables
understudy. Statistically based experiments are discussed with the aid of
statistical software.**

- Teacher: Faith Baldonado