C011. Basic Quantitative Foundations for Business and Economics I (3 s.h.) F S SS. Core: QA.

Prerequisite: Sufficient score on the Math Placement exam or a C- or better grade in Math 0045.

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.

C012/H092. Calculus for Business (3 s.h.) F S SS. Core: QB.

Prerequisite: C- or better grade in Statistics C011 or in Mathematics C074. A C- grade in Mathematics C055 plus a passing grade on the Statistics C011 challenge exam. Or, a sufficient score on the Math Placement exam to waive Statistics C011.

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.

Note: Math C075 and some other higher level Math courses can substitute for Statistics C012. Please check with your academic advisor when making your course selection.

C021. Statistical Methods and Concepts (3 s.h.) F S SS. Core: QB.

Prerequisite: C- or better grade in Statistics C011 or H091, or in Mathematics C055, C075, or C085.

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.

0022. Selected Statistical Topics (3 s.h.) F S SS.

Prerequisite: C- or better grade in Statistics C021 and completion of one calculus course (eg: Statistics C012 or Mathematics C075, C077, or C085).

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.

H093 and H094. Honors Basic Statistics for Business and Economics (3 s.h. each) F S. Core: QB for H093.

Prerequisite: Statistics H092 or Mathematics C075 or C085. Open only to business designated Honors students or with special permission.

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.

0103. Statistics for Engineers (3 s.h.)

Prerequisite: Mathematics C075 or equivalent course with permission.

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.

Note: Students may elect the optional computer lab Statistics 0279.

0212. Intermediate Statistics (3 s.h.) F S.

Prerequisite: Actuarial Science 0262 or Math 0233 or its equivalent.

This course covers the basics of statistical estimation theory, in preparation for further study in regression, time series analysis, and forecasting (as tested on the SOA/CAS Course 4 professional examination). Topics include: classical point estimation methods; construction of confidence intervals; tests of statistical hypotheses; and basic analysis of categorical data

Note: This course replaces the Statistics 0022 Business Core requirement for Actuarial Science majors.

0278. Statistics for Experiments (3 s.h.)

Prerequisite: Mathematics 0076 or equivalent course with permission.

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.

Note: Students may elect the optional computer lab Statistics 0279 for 1 s.h. Basic statistics for students studying a laboratory science. Not to be taken by Statistics majors.

0285. Introduction to Data Analysis (3 s.h.)

Prerequisite: Statistics 0022.

Covers techniques for summarizing and displaying data. Exploratory data analysis methods include stem-and-leafs, robust statistics, and resistant line fitting. Course also includes methods for analyzing categorical data.

0351. Intermediate Business Statistics (3 s.h.)

Prerequisite: Statistics 0022 or equivalent course with permission.

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.

0395. Independent Study (1-6 s.h.) SS.

Prerequisite: Consultation with a faculty member and approval of department chairperson.

Readings, papers and/or laboratory work under supervision of a faculty member.