Listed in: Mathematics and Statistics, as STAT-111
Formerly listed as: ENST-24 | MATH-17
Moodle sites: Course (Login required) | Section 01 (Login required) | Section 02 (Login required) | Section 03 (Login required)
Joanna M. Jeneralczuk (Section 02)
Xiaofei S. Wang (Sections 01 and 03)
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: Professors TBA. Spring semester: Professors TBA.
If Overenrolled: Preference given to Environmental Studies majors, then by class year, seniors first.