Location:
Various; distance learning format.
Length:
Varies; self-study.
Dates:
September 2018 – Present.
Instructional delivery format:
Learner Outcomes:
Upon successful completion of this course, students will be able to: apply descriptive statistics such as measures of central tendency, variability and association between two variables; compute the expected value and variance of any random variable; and use discrete and continuous probability distributions for business and economic problems.
Instruction:
This course introduces statistical analysis methods commonly used for managerial decision-making and is designed to equip managers with the skills to make effective use of data in the workplace, to develop expertise in a standard set of statistical and graphical techniques useful in analyzing data. These techniques are widely applied in a number of areas of management, including operations management, marketing, finance and economics. Topics include techniques used for collecting, organizing, analyzing, and interpreting data.
Credit recommendation:
In the lower division baccalaureate/associate degree category, 3 semester hours in Mathematics or Statistics (8/18).