STAT2110-L1 Statistics (Spring 2024)
For additional course information, First Class requirements, syllabus, etc., check the About The Instructor(s) section for a link to a Faculty Website.

Course Details

Section will be taught totally online with no scheduled class meetings. Students must arrange for daily access to a computer and the Internet prior to the start of classes. Robert Morris labs are to be used only as a backup in special situations and may not be relied upon for extended periods of time. In addition to the Internet link, online classes have a large emphasis on email. All messages from the instructor and other information regarding online classes, including user ids, passwords, and login instructions will be sent to your Robert Morris University email account. Visit for more information.
Session, Dates: 2 (01/13/2024 - 03/08/2024)
Time: -
Location: Internet/Online
Seats Available: No Seats 0 Waiting
Credits: 3

Course Description

Statistics is directed toward majors in the Schools of Nursing and Health Sciences, Communications and Information Systems, Education and Social Sciences and some majors in Mathematics and Science. This course is designed to give students the statistical tools needed to make decisions and interpret results based on sample data. Grouped and ungrouped data will be analyzed through descriptive statistics, including: frequency distributions, measures of central tendency, and measures of dispersion. Techniques for the presentation and interpretation of results will include bar graphs, histograms, frequency and relative frequency tables. Basic concepts of probability theory are briefly examined. Various distributions of sample data including: binomial, normal and uniform distributions are explored. Statistical inference will include detailed discussion of confidence interval estimation and hypothesis testing including problems involving proportions and means of both one and two populations, and large and small samples. The last part of the course will cover correlation and regression. Interpretation of results will be emphasized. Technologies used may include Excel and the TI 83/84 calculator.

Prerequisite: MATH1010, MATH1020, MATH1050, or MATH2040 3 Credits

Course Materials

About the Instructor(s)

E. Gregory Holdan, Ph.D.
Professor of Mathematics
412-397-4055 phone
412-397-4075 fax
John Jay 309