MATH 2000 - Statistics

(3) Credit Hours
Prerequisite: MATH 1111 or MATH 1001
A non-calculus introduction to descriptive and inferential hypothesis testing, linear regression and correlation, the normal distribution and estimation. Upon completion of the course students will be able to: (1) see statistical analysis as a practical and useful tool in today’s society; (2) understand that variability is natural, predictable and quantifiable; (3) know the parts of the process through which statistics works to answer questions; (4) choose the appropriate graph and analysis technique(s) to address research questions; (5) communicate the results of a statistical study in the context of the given scenario, including scope of inference and causality; (6) use statistical language appropriately; (7) use appropriate technology in the evaluation, analysis and synthesis of information in problem-solving situations.