** 01512/Statistics (FSBM)**

Fundamentals of finite mathematics necessary for a business student to pursue statistics and other quantitatively oriented business courses. Topics and illustrations are specifically directed to applications in business and economics. Topics include algebraic concepts; linear, quadratic, polynomial and rational functions; logarithm and exponential functions; elementary matrix manipulations. Fitting of curves, interest rate calculations, present and future values of annuities are some of the specific applications. Use of a graphic calculator.
Continuation of Statistics C011. Introduction to Differential and Integral Calculus. Topics include functions and graphs, differentiation of polynomial, logarithmic, exponential, and rational functions. Higher order derivatives with applications, maximum and minimum, break-even analysis and market equilibrium. Integration: antiderivative and the definite integral with applications to marginal analysis and other problems in business and economics. Use of a graphic calculator.
A survey course covering basic descriptive statistics and an introduction to probability and to statistical inference. Topics include probability distributions, random sampling and sampling distributions, point and interval estimation, and hypothesis testing. Use of a statistical computer package.
Continuation of Statistics C021. Topics include hypothesis testing for several populations, linear regression, correlation, analysis of variance, chi-square tests, and sampling. Use of a statistical computer package.
This sequence may be used to fulfill the statistics requirements of the Fox School of Business and Management. First semester: data sources, sampling, summary measures, probability, random variables, univariate and bivariate distributions, conditional expectation, estimation and testing. Second semester: Hypothesis testing for several populations, linear simple and multiple regression, correlation analysis, analysis of variance, non-parametric and robust methods, contingency tables, and goodness of fit tests. Extensive use of a statistical software in both courses.
Not to be taken by School of Business and Management students; open only to engineering students. Descriptive statistics, inference, regression and correlation, and experimental design. Engineering applications. Students may elect the optional computer lab Statistics 0279.
Basic statistics for students studying a laboratory science. Not to be taken by statistics majors. Data summarization, introduction to probability, probability distributions, estimation, test of hypotheses, laboratory quality control, survey design and clinical trials, analysis of count data, principles of analysis of variance, and regression analysis. Use of the Minitab statistics software package. Students may elect the optional computer lab Statistics 0279 for 1 s.h.
Covers techniques for summarizing and displaying data. Exploratory data analysis methods include stem-and-leafs, robust statistics, and resist line fitting. Methods for analyzing categorical data.
Topics will be chosen from multiple regression, analysis of variance, forecasting, and time series. Standard statistical packages will be introduced and used extensively. The course will emphasize applications in business such as financial forecasting, production management, and actuarial science.
Readings, papers and/or laboratory work under supervision of a faculty member. |