MTH 265 Stat For Scientist & Engineers
Covers probability and inferential statistics applied to scientific and engineering problems. Includes random variables, expectation, sampling, estimation, hypothesis testing, regression, correlation and analysis of variance. This course satisfies the OSU requirement of ST 314 for engineering programs.
Prerequisite
Prerequisite: MTH 252 Integral Calculus with a grade of C or better.
Offered
Offered Winter only
Notes
Lower Division Transfer (LDT) Course
General Education Requirements
AAOT Science/Math Non Lab, AS Math, AAS Math/Computation, AAOT Math, AGS Math/Science,
Outcomes
Upon successful completion of this course, students will be able to:
Compute and interpret descriptive statistics using numerical and graphical techniques. Apply the basic concepts of probability, random variables, combinations of random variables, and probability distribution. Compute point estimates of parameters, apply sampling distributions, and discuss the central limit theorem. Construct and interpret confidence intervals on parameters. Formulate and carry out a hypothesis test.