★ 1.5 (fi 6)(EITH/SP/SU, 3-0-1.5)
Descriptive data analysis. Calculus of Probability. Binomial, multinomial, Poisson, normal, beta, exponential, gamma, hypergeometric, and Weibull distributions. Sampling distributions. Estimation, testing hypotheses, goodness-of-fit tests, and one-way analysis of variance. Linear correlation and regression. Sampling. Quality control. Use of a microcomputer software package for statistical analyses in engineering applications. Prerequisite: MATH 100. Corequisite: MATH 101. Credit may not be obtained in STAT 235 if credit has already been obtained in STAT 141, 151, 222, 265, 266; PSYCO 211, SCI 151 or SOC 210. Intended for Engineering students. Other students who take this course will receive *3.0.
LECTURE C1 (10225)
2022-05-09 - 2022-06-30
MWF 11:00 - 11:50 (ETLC E1-007)