Advanced Statistics & Experimental Design (380-0-1)

Instructors

Harry David Smith

Meeting Info

Technological Institute MG51: Tues, Thurs 11:00AM - 12:20PM

Overview of class

This course focuses on the analysis of data, using computer software. The approach is conceptual-I want you to understand not memorize. Important concepts include samples versus populations, normal curves and the central limit theorem, sampling distributions, standard errors, hypothesis testing, correlation and regression, t-tests, analysis of variance (ANOVA), and the chi-squared test.

Registration Requirements

Attendance at 1st class mandatory
Prerequisites apply, see description
Psychology 110 or permission of the instructor

Teaching Method

Lecture and Group Assignments.

Evaluation Method

Grades will be based on homework (20%), in class group exercises (20%), a data analytic project (20%), and two exams (20% each). The second exam will occur on the last day of class, and the data analytic project will be due during finals week (but could be completed during reading week).

Class Materials (Required)

Warne, R. T. (2018). Statistics for the Social Sciences: A General Linear Model Approach. Cambridge University Press. ISBN: 978-1-107-57697-1

Class Attributes

Formal Studies Distro Area
Prerequisites apply, see description

Enrollment Requirements

Enrollment Requirements: Prerequisite: Students must complete Psych 205-0 before taking this course.