MTH 265 Statistics for Scientists and Engineers

A calculus-based introduction to probability and statistics with applications to science and engineering disciplines. Topics include: data description and analysis, random variables, expectation, discrete and continuous probability theory, common probability distributions, sampling distributions, estimation, confidence intervals, hypothesis testing, control charts, regression analysis, and experimental design. This course satisfies the OSU requirement of ST 314 for engineering programs.

Credits

4

Prerequisite

MTH 252 with a C- or better within the past five years

Course Learning Outcomes

Upon successful completion of this course, the student will be able to:
1. Identify the role of statistics within the engineering profession
2. Apply statistical methodology and tools to the engineering problem-solving process
3. Create graphs, charts and diagrams in ways meaningful for interpretation
4. Understand the basic concepts of probability, random variables, probability distribution, and joint probability distribution
5. Demonstrate an understanding of variability in engineering processes through modeling such variability
6. Explain/understand sampling distributions, the central limit theorem and compute point estimation of parameters
7. Construct confidence intervals, hypothesis testing on parameters and apply the tools of statistical inference to various studies
8. Describe statistical process controls and the use of control charts
9. Construct and interpret linear regression models involving one or more independent variables
10.Exhibit principles of experimental design by recognizing when such principles can be put to use for engineering problems