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ST 380: Probability and Statistics for the Physical Sciences
3.00 Credits
North Carolina State University
Introduction to probability models and statistics with emphasis on Monte Carlo simulation and graphical display of data on computer laboratory workstations. Statistical methods include point and interval estimation of population parameters and curveand surface fitting (regression analysis). Credit not allowed for both ST 380 and ST 361 or ST 370
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ST 401: Experiences in Data Analysis
4.00 Credits
North Carolina State University
This course will allow students to see many practical aspects of data analysis. Each section of this course will expose students to the process of data analysis in a themed area such as biostatistics or environmental statistics. Students will see problems of data collection and analysis through a combination of classroom demonstrations, hands on computer activities and visits to local industries.
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ST 401 - Experiences in Data Analysis
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ST 412: Long-Term Actuarial Models
3.00 Credits
North Carolina State University
Long-term probability models for risk management systems. Theory and applications of compound interest, probability distributions of failure time random variables, present value models of future contingent cash flows, applications to insurance, health care, credit risk, environmental risk, consumer behavior and warranties.
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ST 412 - Long-Term Actuarial Models
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ST 413: Short-Term Actuarial Models
3.00 Credits
North Carolina State University
Short-term probability models for risk management systems. Frequency distributions, loss distributions, the individual risk model, the collective risk model, stochastic process models of solvency requirements, applications to insurance and businessdecisions.
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ST 421: Introduction to Mathematical Statistics I
3.00 Credits
North Carolina State University
First of a two-semester sequence of mathematical statistics, primarily for undergraduate majors and graduate minors in Statistics. Introduction to probability, univariate and multivariate probability distributions and their properties, distributions of functions of random variables, random samples and sampling distributions.
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ST 421 - Introduction to Mathematical Statistics I
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ST 422: Introduction to Mathematical Statistics II
3.00 Credits
North Carolina State University
Second of a two-semester sequence of mathematical statistics, primarily for undergraduate majors and graduate minors in Statistics. Random samples, point and interval estimators and their properties, methods of moments, maximum likelihood, tests ofhypotheses, elements of nonparametric statistics and elements of general linear model theory.
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ST 430: Introduction to Regression Analysis
3.00 Credits
North Carolina State University
Regression analysis as a flexible statistical problem solving methodology. Matrix review; variable selection; prediction; multicolinearity; model diagnostics; dummy variables; logistic and non-linear regression. Emphasizes use of computer.
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ST 430 - Introduction to Regression Analysis
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ST 431: Introduction to Experimental Design
3.00 Credits
North Carolina State University
Experimental design as a method for organizing analysis procedures. Completely randomized, randomized block, factorial, nested, latin squares, split-plot and incomplete block designs. Response surface and covariance adjustment procedures. Stresses use of computer.
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ST 432: Introduction to Survey Sampling
3.00 Credits
North Carolina State University
Design principles pertaining to planning and execution of a sample survey. Simple random, stratified random, systematic and one- and two-stage cluster sampling designs. Emphasis on statistical considerations in analysis of sample survey data. Class project on design and execution of an actual sample survey.
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ST 435: Statistical Methods for Quality and Productivity Improvement
3.00 Credits
North Carolina State University
Use of statistics for quality control and productivity improvement. Control chart calculations and graphing, process control and specification; sampling plans; and reliability. Computer use will be stressed for performing calculations and graphing.
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