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National College Credit Recommendation Service

Board of Regents  |  University of the State of New York

Coopersmith Career Consulting | Evaluated Learning Experience

Introduction to Statistics (MAT-102)

Various; distance learning format.

Varies (self-study; self-paced).

May 2013 - Present.
Instructional delivery format: 
Online/distance learning
Learner Outcomes: 

Upon successful completion of this course, students will be able to: classify collected data to ensure efficient statistical analysis; graph data on various types of charts and graphs to display distribution tendency, variation, etc; determine the probability of the occurrence of an event based on a variety of data types; apply conditional probability rules, including the addition rule; use probability distributions to model the number of successes in various sample sizes; calculate standard distributions and confidence intervals for sets of data; use statistical analyses to test hypotheses for small and large samples; and perform basic regression analyses.


This self-study course provides students with a working knowledge of the most important basic concepts of probability and statistics by teaching methods of how data is sorted, characterized, visualized, and interpreted. Other topics include: probability concepts such as events, sample spaces, conditional probability, and effects of multiple variables, statistical distribution, sample sizes, testing, regression analysis and complex statistical analysis.

Credit recommendation: 

In the lower division baccalaureate/associate degree category, 4 semester hours in Statistics or Mathematics (6/13) (8/18 revalidation).