Statistical and Data Sciences 201 - Statistical Methods for Undergraduates

STATISTICAL METHODS:UNDERGRAD

Spring
2020
L01
0.00
William Hopper
T 09:25-10:40
Smith College
30296-S20
SAB-RD 224
whopper@smith.edu
(Formerly MTH/PSY 201 and MTH/PSY 190). An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description and statistical inference including an introduction to study design, confidence intervals, testing hypotheses, analysis of variance and regression analysis. Techniques for analyzing both quantitative and categorical data are discussed. Applications are emphasized, and students use R for data analysis. Classes meet for lecture/discussion and a required laboratory that emphasizes the analysis of real data. This course satisfies the basic requirement for the psychology major. Students who have taken MTH 111 or the equivalent should take MTH 220, which also satisfies the basic requirement. Normally students receive credit for only one of the following introductory statistics courses: MTH 201/PSY 201; ECO 220, GOV 190, MTH 219, MTH 220 or SOC 201.
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.
You must also register for a Lecture section.
Permission is required for interchange registration during the add/drop period only.