This course focuses on the principles and applications of statistics and data analysis with an emphasis on inference. The goals are to help students acquire a solid foundation in the basics of statistics and its application in solving practical problems. This course uses examples from various disciplines to illustrate the relevancy of statistics in real world situations. Topics include descriptive statistics, probability and sampling distributions, estimation and hypothesis testing of parameters, comparison of population parameters, and regression and inference about relationships.
Student Learning Outcomes
- Apply mathematical and statistical concepts that form the foundation of statistical analysis and problem solving.
- Demonstrate basic skills in collecting, organizing, analyzing and interpreting quantitative data.
- Apply an evidence-based approach in problem solving with consideration of probability and contingency.
- Utilize procedures for manipulating algebraic expressions and equations.
- Demonstrate and apply critical thinking skills to solve a variety of problems.
- Interpret the concepts of probability and variability, and their roles in statistics.
- Apply probability and statistical principles appropriately to applications.
- Utilize a systematic approach to problem solving which incorporates verbal, numeric, visual and symbolic strategies.
- Communicate mathematical understanding to others verbally and in written form.
- Expand mathematical reasoning skills and formal logic to develop convincing mathematical arguments.
Please see eServices for section availability and current pre-req/test score requirements for this course.