Statistics and Data Analysis I: Introduction


  • Niccole Pamphilis, University of Glasgow

This workshop will be offered in an online video format.

This workshop provides a basic introduction to statistics, probability, and data analysis. Topics include data acquisition/management, classification, and summarization; basic probability; exploration of common distribution used in statistics; along with confidence intervals and hypothesis testing.

The format for this workshop consists of daily lectures supplemented by additional sessions in the computing labs. There will be frequent assignments in order to give workshop participants hands-on experience with the methods and techniques covered in the class. Most assignments will involve the use of statistical packages, which will be available for use in computer labs. Workshop participants will be given the opportunity to do their work using the statistical software packages that are most common in their respective academic disciplines, including SPSS, R, and Stata.

The only prerequisite for this course is familiarity with basic algebra. Participants who need a review of basic algebraic concepts are advised to enroll in the ICPSR Summer Program lecture course Mathematics for Social Scientists, I along with this workshop.

Fee and Registration: This course is part of the first four-week session. Please see our fee chart on our Registration page for the cost of attending one (or both) four-week session(s). Participants who enroll in a four-week session may take as many courses (workshops and lectures) as desired during the session for which they are enrolled. Participants in the four-week sessions are also welcome to attend all of the lectures and discussions offered in the Blalock Lecture Series.

Tags: introductory statistics, basic probability, introduction to data analysis, sampling methods, descriptive statistics, hypothesis testing, confidence intervals, statistical inference

Course Sections

Section 1

Location: Online -- Video format,

Date(s): June 22 - July 17

Time: 3:00 PM - 5:00 PM


  • Niccole Pamphilis, University of Glasgow