:: Fall 2006-07 Course Info ::

Course number: MA 223 (Section 1)
Course name: Engineering Statistics I
Hours Taught: 8:05 am - 8:55 am (1st period), MTRF
Place: Crapo G315

Course description: This is an introductory course in statistical data analysis. Topics covered include descriptive statistics, introduction to simple probability concepts, and random variables (including their linear combinations and expectations). The Central Limit Theorem will be presented. Hypothesis testing and confidence intervals for one mean, one proportion, and one standard deviation/variance will be covered as well as hypothesis testing and confidence intervals for the difference of two means. An introduction to one factor analysis of variance and simple linear regression will be presented. A computer package will be used for statistical analysis and simulation. Experimental data from a variety of fields of interest to the science and engineering majors enrolled will also be used to illustrate statistical concepts and facilitate the development of the student's statistical thinking. A student cannot take both MA 223 and MA 382 for credit.

Downloadable Class Files: Available on ANGEL

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Course number: MA 381 (Sections 1 & 2)
Course name: Intro to Probability with Applications to Statistics
Hours Taught: 11:45 am - 12:35 pm (5th period), 12:40 pm - 1:30 pm (6th period), MTRF
Location: Crapo G310

Course description: Introduction to probability theory; axioms of probability, sample spaces, and probability laws (including conditional probabilities). Univariate random variables (discrete and continuous) and their expectations including these distributions: binomial, Poisson, geometric, uniform, exponential, and normal. Introduction to moment generating functions. Introduction to jointly distributed random variables. Univariate and joint transformations of random variables. The distribution of linear combinations of random variables and an introduction to the Central Limit Theorem. Applications of probability to statistics.

Downloadable Class Files: Available on ANGEL

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