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STAT235A - Introductory Statistics for Engineering

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.

Spring Term 2020

Lecture Sections

Spring Term 2020 - LEC C1 (22212)

MWF 11:00:00 - 11:50:00 (ETLC E1 003)

Lab Sections

Spring Term 2020 - LAB D1 (22214)

W 14:00:00 - 15:20:00 (NRE 2 117)

Spring Term 2020 - LAB D3 (23490)

F 14:00:00 - 15:20:00 (NRE 2 117)

Spring Term 2020 - LAB D2 (23950)

W 14:00:00 - 15:20:00 (NRE 2 125)

Spring Term 2020 - LAB D4 (23952)

F 14:00:00 - 15:20:00 (NRE 2 125)

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