STAT 316 - Statistics and Probability for Science and Engineering

Units: 3
Basic probability rules (independence, Bayes’ Theorem), distributions (binomial, Poisson, normal, exponential), reliability. Descriptive, inferential statistics (control charts, estimation, hypothesis testing: one, two samples), correlation, regression. Emphasizes: computer analysis, simulation; science, engineering applications.

Prerequisites: MATH 131.
Credit Restrictions: Not open for credit for those taking STAT 330.

Possible Instructional Methods: On-ground, or Hybrid, or Online Asynchronous or Online Synchronous.
Grading: A-F or CR/NC (student choice).
Course Typically Offered: Fall & Spring

Student Learning Outcomes - Upon successful completion of this course students will be able to:

Apply statistical methodologies, including descriptive statistics and inferential techniques.
Program an appropriate statistical software package to produce relevant computer output.
Interpret the results of statistical analyses appropriately.