# The Faculty of Engineering and Applied Science Calendar2011-2012 Academic Year

Statistics Courses (core to Engineering Program)
 STAT 267 Engineering Data Analysis
Course is identical to STAT 367 with the exception that STAT 367 has one extra tutorial session. (38/0/0/4/0)
~ COURSE DELETED IN 2009/10 ~

PREREQUISITES: APSC 171, APSC 172
EXCLUSIONS: STAT 261, STAT 263, STAT 266, STAT 367
 MTHE 351 Probability I F 3-0-.5 3.5
This course is a PREREQUISITE for theoretical statistics courses and further courses in probability and stochastic processes. Basic probability theory: probability models; discrete and continuous random variables; moments; jointly distributed random variables; transformations and generating functions. Inequalities and limit laws. Distributions include: binomial, Poisson, exponential, gamma, normal. Applications include: elementary stochastic processes, time-to-failure models, binary communication channels with Gaussian noise. (42/0/0/0/0)
COREQUISITE:  MTHE 280
EXCLUSION:  STAT 251
 MTHE 353 Probability II W 3-0-0 3
Intermediate probability theory as a basis for further study in mathematical statistics and stochastic processes; probability measures, expectations; modes of convergence of sequences of random variables; conditional expectations; independent systems of random variables; Gaussian systems; characteristic functions; Law of large numbers, Central limit theory; some notions of dependence. (36/0/0/0/0)  PREREQUISITES: STAT 251 or MTHE 351 (STAT 351), APSC 174, MTHE 281 (MATH 281)
 MTHE 367 Engineering Data Analysis W 3-0-1 4
Exploratory data analysis -- graphical and statistical analysis and presentation of experimental data.  Random sampling.  Probability and probability models for discrete and continuous random variables.  Process capability.  Normal probability graphs.  Sampling distribution of means and proportions.  Statistical Quality Control and Statistical Process Control.  Estimation using confidence intervals.  Testing of hypothesis procedures for means, variances and proportions -- one and two samples cases.  Liner regression, residuals and correlation.  ANOVA.  Use of statistical software. (36/0/0/12/0) PREREQUISITES: APSC 171, APSC 172
EXCLUSIONS: STAT 261, STAT 263, STAT 266, MTHE 267 (STAT 267)