Description |
Presentation and interpretation of data, elementary probability concepts, random variables and probability distributions, binomial, Poisson, exponential, Weibull, normal and lognormal random variables. Estimation, tests of hypotheses for the one sample problem. Simple and multiple linear regression, application to engineering problems. The lab session will be devoted to problem solving using statistics software. (The course is not open for credit to Statistics or Mathematics Majors and cannot be taken for credit with SE 205 or STAT 201).
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