Ohio University
Graduate Catalog

Quantitative Business Analysis (QBA) Courses

500 Mathematical Foundations (4)
Introduction to differential calculus, integral calculus, and linear algebra with economic and business models and application.
Staff; F; Y.

510 Statistical Foundations (4)
Introduction to probability theory, statistical distributions, sampling, estimation, testing, and decision theory for economists and business administrators.
Staff; F; Y.

530 Statistical Quality Control (4)
Prereq: 510 or ECON 501 or equiv. Application of sampling theory to quality control in process control (e.g., control charts) and sampling inspection (e.g., attribute and variable).
Staff; D.

534 Design of Experiments (4)
Prereq: 510 or ECON 501 or equiv. Nested, split plots; replicated designs; multifactor experiments; compounding fractional factorials; analysis of covariance.
Staff; D.

538 Nonparametric Statistics (4)
Prereq: 510 or ECON 501 or equiv. Appropriate statistical tests; power, asymptotic efficiency; parametric vs. nonparametric; Fisher's randomization method; run test; multi-sample tests; one-way ANOVA and two-way ANOVA miscellaneous tests.
Staff; D.

545 Forecasting Business Trends (4)
Prereq: 510 or ECON 501 or equiv. Forecasting techniques and methodologies as tools used by decision makers to provide a basis for determining future business environments. Forecasting as a means for integrating total corporate planning with technical marketing and financial planning.
Staff; Sp; A.

551 Statistical Survey Techniques (4)
Prereq: 510 or ECON 501 or equiv. Techniques, analysis, and application of sample surveys used in marketing, economics, auditing, and other business functional areas.
Staff; D.

554 Intermediate Probability Theory (4)
Prereq: 510 or ECON 501 or equiv and QBA 371. Random variables-multidimension (continuous and discrete), moments, moment-generating functions and expected values, limiting theorems.
Staff; W; A.

555 Intermediate Statistical Inference (4)
Prereq: 554. Estimation, tests of hypotheses, sampling, analyses of variance, design of experiments.
Staff; Sp; A.

556 Regression Analysis (4)
Prereq: 510 or ECON 501 or equiv and QBA 371. Time sense analysis, simple and multiple regression, and correlation analysis.
Staff; D.

562 Bayesian Decision Analysis (4)
Prereq: 501 or ECON 501 or equiv. Statistical inference and decision making taught from a Bayesian point of view. Comparison made with classical approach where instructive.

571 Statistical Analysis of Data (4)
Prereq: 510. Topics in applied statistics. Design and analysis of survey samples, ANOVA, modern decision analysis, and time series.

585 Simulation (4)
Prereq: 614 and CS 220 or equiv. Development of models of complex management decision environments and their manipulation via computer simulation. GPSS programming language. Interpretation of simulation results. Application to problems in marketing, finance, and production.
Staff; D.

614 Management Science (4)
Prereq: 500 and 510, or ECON 500 and 501, or equiv. Introductory survey of techniques of management science viewed as part of applied decision theory. Applications in accounting, production, finance, and marketing stressed. Course topics include investing models, linear programming, network analysis, queuing models, simulation, dynamic programming, branch and bound methodology.
Staff; D.

691 Seminar (1-5)
Selected topics of current interest in quantitative business analysis areas.
Staff; F, W, Sp.

693 Readings (1-5)
Prereq: Phase II M.B.A. students only. Readings on topics selected in consultation with faculty member.
Staff; F, W, Sp; Y.

697 Independent Research (1-5)
Research under direction of faculty member.
Staff; F, W, Sp; Y.


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University Publications and the Computer Services Center revised this file ( https://www.ohio.edu/~gcat/95-97/areas/busn/qba.html ) April 13, 1998.

Please e-mail comments or suggestions to " gcat@www.ohiou.edu ."

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