Statistics

Statistics 1001 (formerly C011): Basic Quantitative Foundations for Business and Economics I
3 credit hours (non-CLA)

Prerequisite: Appropriate mathematics placement test results or Mathematics 0701

A course providing the 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.

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Statistics 1102 (formerly C012): Basic Quantitative Foundations for Business and Economics II
3 credit hours (non-CLA)

Prerequisite: C- or better grade in Statistics 1001 or in Mathematics 1011

Continuation of Statistics 1001. 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.

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Statistics 2101 (formerly C021): Statistical Methods and Concepts
3 credit hours (non-CLA)

Prerequisite: C- or better grade in Statistics 1001 or H091, or in Mathematics 1011, C075, or C085

A survey that covers descriptive statistics and introduces probability and statistical inference.

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Statistics 2102 (formerly 0022): Selected Statistical Topics
3 credit hours (non-CLA)

Prerequisite: C- or better grade in both Statistics 2101 and calculus (one of the following: Statistics 1102 or Mathematics C066, C075, or C085)

An extension of Statistics 2101 that offers more advanced topics, such as regression, correlation, the analysis of variance, time series, chi-square tests, and sampling.

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Statistics 2103: Business Statistics
4 credit hours (non-CLA)

Prerequisite: C- or better grade in Statistics 1001 or in Mathematics 1011, C075 (taken prior to Summer 2007 session), or 1041. Completion of calculus (one of the following: Statistics 1102 or Mathematics C075, 1031, or 1041 is preferred).

Course covers basic descriptive statistics, probability, and statistical inference. Topics include probability distributions, random sampling and sampling distributions, point and interval estimation, and hypothesis testing. The course also covers hypothesis testing for several populations, correlation, simple linear regression, multiple regression, and chi-square tests. Use of Excel for data analysis and inference.

Note: This course is a four credit hour course which will substitute for Statistics 2101 and 2102 for Fox School students.

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