Listed in: Mathematics and Statistics, as MATH-130
Formerly listed as: ENST-24 | MATH-17
This course is an introduction to applied statistical methods useful for the analysis of data from all fields. Brief coverage of data summary and graphical techniques will be followed by elementary probability, sampling distributions, the central limit theorem and statistical inference. Inference procedures include confidence intervals and hypothesis testing for both means and proportions, the chi-square test, simple linear regression, and a brief introduction to analysis of variance (ANOVA). Four class hours per week (two will be held in the computer lab). Labs are not interchangeable between sections due to course content.
Limited to 20 students per section. Fall semester: Visiting Professors Jeneralczuk and Manack. Spring semester: Professors Liao and Wagaman and Lecturer Jeneralczuk.
If Overenrolled: Preference given to Mathematics majors and Environmental Studies majors, then by class year, seniors first.