Introduction to Statistical Methods

Course Number: 
301
Credits: 
3
Frequency: 
Fall, Spring, Summer
Course Description: 
Distributions, measures of central tendency, dispersion and shape, the normal distribution; experiments to compare means, standard errors, confidence intervals; effects of departure from assumption; method of least squares, regression, correlation, assumptions and limitations; basic ideas of experimental design.
Course Prerequisites: 
Completion of Quantitative Reasoning A. This is suitably met with a course in college algebra via Math 112 or Math 114.
Course Audience: 
Students in many disciplines including the social sciences, nursing, and social welfare. Students majoring in math or statistics should enroll in Stat 302.