300
An introduction to statistical analysis. Topics will include descriptive statistics, probability, sampling distributions, statistical inference, and regression. Credit may not be earned in more than one of these courses: STA 282, STA 382, STA 392. Satisfies Mathematics Competency. Quantitative Reasoning. Recommended: MTH 130 or 132 or 133. (University Program Group II-B: Quantitative and Mathematical Sciences)
Credits
3(3-0)
Prerequisites
None.
Corequisites
None.
An introduction to statistical analysis emphasizing engineering applications. Topics include descriptive statistics, probability, sampling distributions, estimation, hypothesis testing, regression, quality control, and reliability. Satisfies Mathematics Competency. Credit may not be earned in more than one of these courses: STA 282, 382, and 392. Prerequisite:
MTH 133.
Credits
3(3-0)
Prerequisites
MTH 133
Corequisites
None.