Introduction to Statistics & Statistical Software (400-0-20)

Topic

Introduction to Probability and Statistics

Instructors

Quincy Stewart

Meeting Info

Parkes Hall 222: Mon, Wed 3:30PM - 4:50PM

Overview of class

The aim of this course is to introduce students to the basic concepts of quantitative methods and statistical computing as they relate to social scientific research, and lay the foundation for more advanced graduate-level courses in multiple regression, regression models for categorical dependent variables, computational simulations, social networks, event-history analysis, etc.

Required Math Refresher **BEFORE** the quarter starts - contact instructor for details and schedule.

Learning Objectives

Students in the course will learn to: use graphs, tables, and measures of central tendency and spread; explain random sampling using probability concepts; explain what a sampling distribution is and give a rudimentary explanation of its role in inferential statistics; calculate and explain confidence intervals; test hypotheses about means, proportions, and pairs of means and proportions; test the hypothesis of independence in a contingency table; compute and interpret correlations and regressions for pairs of variables; and use R statistical software to perform these basic statistical analyses.

Teaching Method

lecture and discussion

Evaluation Method

Weekly homework assignments; take-home quizzes; final program

Class Materials (Required)

All materials for this course will be made available on Canvas - no purchase necessary.

Class Notes

Math Refresher starts two weeks prior to quarter. Registered students will be notified when the dates are scheduled.

Enrollment Requirements

Enrollment Requirements: REASON: Pre-registration is not allowed for this class. Please try again during regular registration.

Associated Classes

LAB - Parkes Hall 222: Tues 11:00AM - 11:50AM