MTH 265 Stat for Scientists & 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:
Calculate probabilities and interpret their meaning. Calculate expected values of discrete random variables, including means and variances and interpret their meaning. Calculate expected values of continuous random variables, including means and variances and interpret their meaning. calculate marginal and conditional probabilities continuous random variable and interpret their meanings. Calculate means and variances of sample of random variables, both discrete and continuous and interpret their meaning. calculate the appropriate confidence intervals for single sample and multiple samples point estimators. Be able to identify and perform the appropriate hypothesis test for single sample and multiple sample point estimators.