Overview
Description
Introduction to classical mathematical statistics. Multivariate distributions; interval and point estimation; sufficiency; unbiasedness, and information inequality; Bayesian estimation; testing hypotheses; power calculations; linear models.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall and Spring
Terms
fall, spring
Attributes
Standard
Learning Outcomes
- compute measures of location, spread, and association, and find probabilities associated with multivariate distributions, both theoretical and empirical.
- perform essential statistical data analysis (frequentist and Bayes point and interval estimation, hypothesis testing, linear modeling) for a given data set, and critically evaluate the assumptions of used techniques.
- perform statistical analysis using a professional Statistical package, prepare reports, and present their results to a professional audience.