Statistics 111 - Intro to Statistics

Spring
2015
01
4.00
Eunice Kim
MW 11:00AM-11:50AM; TH 02:30PM-04:20PM
Amherst College
STAT-111-01-1415S
MERR 131; MERR 131
ekim@amherst.edu

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.

Permission is required for interchange registration during all registration periods.