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Course Criteria
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3.00 Credits
Collection and representation of information; elements of probability; Bernoulli trials, hypergeometric, binomial, Poisson and normal distributions; statistical sampling, estimation; testing hypotheses; parametric procedures for one-sample and twosample problems. Prerequisite: MATH 182. 3 credits.
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3.00 Credits
Regression analysis; importance and essentials of statistically designed experiments, completely randomized design, randomized block design, factorial design, statistical quality control. Prerequisite: STAT 411. 3 credits.
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3.00 Credits
Fundamental principles of analysis of variance; one-way, twoway, and higher order designs; nested designs; randomized blocks; split plot designs; Latin squares; multiple comparisons; and analysis of covariance. Prerequisite: STAT 411. 3 credits.
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3.00 Credits
Elementary probability, commonly used discrete and continuous probability distributions, estimation and hypothesis testing, categorical data testing, regression, model building, analysis of variance, product and system reliability and engineering applications, and quality control. Prerequisites: MATH 283. 3 credits.
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3.00 Credits
Introduction to statistical inference, distributions of random variables, common discrete and continuous probability models, transformations limiting distributions, sufficiency, completeness, unbiasedness, the information inequality, unbiased estimation, the methods of moments, maximum likelihood estimation, Bayesian estimation, confidence intervals, hypothesis testing, uniformly most powerful tests, likelihood ratio tests and related procedures, linear models, and non-parametric models. Prerequisite: STAT 411 or equivalent. 3 credits.
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3.00 Credits
Principles of environmental sampling, testing for outliers, tests for normality, transformations for normality, sample size determinations, analysis of censored data, estimation of background contaminations, tolerance and confidence limits, calibration problem, quality control charts for data quality assessment of environmental data, statistical issues in environmental remediation, and probability of hot spot detection. Usage of statistical software packages. Prerequisite: STAT 411 or equivalent. 3 credits.
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3.00 Credits
Special problem in an area of statistics for investigation and report. Prerequisites: STAT 411 or equivalent. 3 credits.
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6.00 Credits
Undergraduate course in advanced topics in statistics, depending upon the interest of faculty and students. May be repeated to a maximum of six credits. Prerequisite: STAT 411 or equivalent. 3 credits. 406 College of Sciences
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3.00 Credits
Frequency distributions, descriptive statistics, elementary probability; Bernoulli, binomial, and normal distributions; statistical sampling, estimation, and hypothesis testing. Less mathematical treatment than STAT 411. Prerequisite: MATH 127 or MATH 128 or equivalent. 3 credits.
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3.00 Credits
Line fitting; multiple linear and curvilinear regression models; variable selection techniques and examination of residuals, estimation, testing, and prediction; simple, multiple, and partial correlation. Prerequisites: STAT 152 and consent of instructor or STAT 411, STAT 467 or STAT 491. 3 credits.
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