Spring 2018





Introductory Statistics

Term: 
Spring 2018
Online: 
No
Subject Area: 
STATISTICS (STAT)
Course Number: 
STAT 112 601
Schedule: 
Friday 4:30pm-7:30pm
Day(s): 
Friday
Instructor: 

LIM, PILAR

Prerequisite(s): 
STAT 111
Course Description: 

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p-values, and report the results of your analysis in a way that is interpretable. Using data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and R Commander (free statistical software), and will use this software for exercises and a final project. In addition you will be introduced to simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. You will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R. You will also learn about linear models, including 1-way and 2-way analysis of variance models. Lastly the course will cover nonparametric tests.