This course introduces commonly used statisticalmethods. The intent of this course is to provide an understanding of statistical techniques and guidance on the appropriate use of methodologies.The course coversthemathematical foundations of common methods as an aid towards understanding boththe types of applications that are appropriate and the limits of the methods. Matlab and statistical software are used so students can apply statistical methodology to practical problems in the workplace. Topics include the basic laws of probability and descriptive statistics, conditional probability, random variables, expectation and variance, discrete and continuous probability models, bivariate distributions and covariance, sampling distributions, hypothesis testing, method of moments and maximum likelihood point (MLE) estimation, confidence intervals, contingency tables, analysis of variance (ANOVA), and linear regression modeling.
Prerequisites: Multivariate calculus.
The current scheduled offerings for this course for the Spring 2010 term are listed below.
You can search the entire schedule using the Schedule Search form.
| 625.403.61 | Statistical Methods and Data Analysis (Open) | |||||
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01/26/2010 - 05/04/2010 | Room: TBD | $2,750 |
Bodt, B. |
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| 625.403.71 | Statistical Methods and Data Analysis (Open) | |||||
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01/25/2010 - 05/03/2010 | Room: Gilchrist203 | $2,750 |
Wang, S. |
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