Course Listings

all > UGRD > MATH

Probability and Statistics II

Introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered: the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ration tests, t-test, paired and 2-population t-tests, goodness-of-fit tests, chi-square tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Software suitable for statistical analysis, e.g. R or Matlab, will be used to analyze real-world data.

Pre Requisites: Pre-req = MATH 345

Offered in:

2018 Spring

Section Class Number Schedule/Time Instructor Location
01 9808 MW
5:30 - 6:45 pm
Degras-Valabregue,David Abel S01-0006
Session: Regular
Class Dates: 01/22/2018 - 05/09/2018
Capacity: 20
Enrolled: 12
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 345
Course Attributes: