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.

Credits

4

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.