Introduction to Statistics

Introduction to Statistics (MAT-102)
Location:
Various: distance learning format

Length:
Varies (self-study; self-paced)

Dates:
May 2013 - Present.

Subject Area:
Mathematics

Number of Credits:
4

Learner Outcomes:
Upon successful completion of the 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.

Instructions:
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. Students discuss important probability concepts such as events, sample spaces, conditional probability, and effects of multiple variables. Other topics include: 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).