Department of Statistical Science

The Department of Statistics, which is located in the University’s Fox School of Business and Management, has 15 full-time graduate faculty members and about forty graduate students in its Master’s and Ph.D. programs.

Undergraduate Courses

General Education

0826. Statistics & the News (4 s.h.) RCI: GQ.

(Formerly: GE-QUAN 0062.)

Prerequisite: Mathematics placement, a grade of C- or higher in Math 0701 (0045), or transfer credit for Math 0701 (0045).

Through discussion of approximately 50 news articles, learn basic principles of statistics. This course focuses on the relevance, interpretation and usage of statistics in the news media. It has no quantitative prerequisites and involves more reading than math aptitude. Statistics deals with the study of variability, uncertainty, and decision-making, and has applicability to most other disciplines and everyday life.

Note: This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core.


0827. Statistical Reasoning & Games of Chance (4 s.h.) RCI: GQ.

Prerequisite: Placement Exam, Math 0701 (0045), or equivalent.

This is a beginning course in probability and statistics with special emphasis on the critical analysis of games of chance. The objectives of the course are to introduce several quantitative concepts with real-life applications. These applications are related to situations that involve fallacies in reasoning, equity markets and games of chance.

Note: This course fulfills the Quantitative Literacy (GQ) requirement for students under GenEd and a Quantitative Reasoning (QA or QB) requirement for students under Core.


Foundational Courses

1001. Quantitative Methods for Business I (3 s.h.) F S SS. RCI: QA.

(Formerly: STAT C011.)

Prerequisite: Sufficient score on the Math Placement exam or a grade of C- or better in Math 0701 (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.

Note: This course can be used to satisfy the university Core Quantitative Reasoning A (QA) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information.


1102. Quantitative Methods for Business II (3 s.h.) F S SS. RCI: QB.

(Formerly: STAT C012.)

Prerequisite: C- or better grade in Statistics 1001 (C011) or in Mathematics 1022 (C074). A C- grade in Mathematics 1011 (C055) plus a passing grade on the Statistics 1001 (C011) challenge exam. Or, a sufficient score on the Math Placement exam to waive Statistics 1001 (C011).

Continuation of Statistics 1001 (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: (1) Math C075 (taken prior to Summer 2007 session) and some other higher level Math courses can substitute for Statistics 1102. Please check with your academic advisor when making your course selection. (2) This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information.


1902. Honors Quantitative Methods for Business II (3 s.h.) F S SS. RCI: QB.

(Formerly: STAT H092.)

Prerequisite: C- or better grade in Statistics 1001 (C011) or in Mathematics 1022 (C074). A C- grade in Mathematics 1011 (C055) plus a passing grade on the Statistics 1001 (C011) challenge exam. Or, a sufficient score on the Math Placement exam to waive Statistics 1001 (C011).

Continuation of Statistics 1001 (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: (1) Math C075 (taken prior to Summer 2007 session) and some other higher level Math courses can substitute for Statistics 1902. Please check with your academic advisor when making your course selection. (2) This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information.


2101. Statistical Methods and Concepts (3 s.h.) F S SS. RCI: QB.

(Formerly: STAT C021.)

Prerequisite: C- or better grade in Statistics 1001 (C011), or in Mathematics 1011 (C055), C075 (taken prior to Summer 2007 session), or 1041 (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.

Note: It is recommended that Fox School students take Statistics 2103 instead of 2101 and 2102 UNLESS they are repeating 2101 for a higher grade. This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement or the GenEd Quantitative Literacy (GQ) requirement.


2102. Selected Statistical Applications (3 s.h.) F S SS.

(Formerly: STAT 0022.)

Prerequisite: C- or better grade in Statistics 2101 (C021) or 2901 (H093), and completion of one calculus course [e.g.: Statistics 1102 (C012) or Mathematics C075 (taken prior to Summer 2007 session), 1031 (C077), or 1041 (C085)].

Continuation of Statistics 2101 (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.

Note: It is recommended that Fox School students take this class only if they are repeating it for a higher grade or have already received credit for Statistics 2101 (at Temple or from transfer institution.)


2103. Statistical Business Analytics (4 s.h.) F S SS.

Prerequisite: C- or better grade in Statistics 1001 (C011) or in Mathematics 1011 (C055), C075 (taken prior to Summer 2007 session), or 1041 (C085). Completion of calculus (one of the following: Statistics 1102 (C012) or Mathematics C075, 1031 (C077), or 1041 (C085) 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 (C021) and 2102 (0022) for Fox School students.


2104. Selected Topics in Statistical Business Analytics

Prerequisite:

Statistics 2104 is a one credit hour course that covers probability rules, joint and conditional probability, inference, confidence intervals, hypothesis tests, two sample design, simple linear regression, inference for regression, and multiple regression.

NOTE: This course is designed for transfer students who have successfully completed a 3 credit hour introductory statistics course. This one credit hour course will bridge the gap between a 3 credit hour introductory statistics course taken at another institution, and the 4 credit hour Statistics 2103 (Business Statistics) course at Fox. Prior to fall 2014, the title of STAT 2104 was “Selected Topics in Business Statistics.”


2512. Intermediate Statistics (3 s.h.) F S.

(Formerly: STAT 0212.)

Prerequisite: Actuarial Science 2101 (0262) or Mathematics 3031 (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 2102 (0022) Business Core requirement for Actuarial Science majors.


2901. Honors Statistical Methods and Concepts (3 s.h.) F S. RCI: QB.

(Formerly: STAT H093.)

Prerequisite: Statistics 1902 (H092) or Mathematics C075 (taken prior to Summer 2007 session) or 1041 (C085). Open only to business designated Honors students or with special permission.

This is the first course in a sequence that may be used to fulfill the statistics requirements of the Fox School of Business and Management. Topics include data sources, sampling, summary measures, probability, random variables, univariate and bivariate distributions, conditional expectation, estimation and testing. Extensive use of a statistical software.

Note: This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement. Although it may be usable towards graduation as a major requirement or university elective, it cannot be used to satisfy any of the university GenEd requirements. See your advisor for further information.


2902. Honors Selected Statistical Applications (3 s.h.) F S. RCI: HO.

(Formerly: STAT H094.)

Prerequisite: Statistics 2901 (H093) or Mathematics C075 (taken prior to Summer 2007 session) or 1041 (C085). Open only to business designated Honors students or with special permission.

This is the second course in a sequence that may be used to fulfill the statistics requirements of the Fox School of Business and Management. Topics include 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.


2903. Honors Statistical Business Analytics (4 s.h.) F S SS. RCI: HO.

Prerequisite: C- or better grade in Statistics 1001 (C011) or in Mathematics 1011 (C055), or 1041 (C085). Completion of calculus (one of the following: Statistics 1102 (C012)/1902 (H092) or Mathematics 1042 (0086)) 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.


Upper Division Courses

3501. Statistics for Engineers (3 s.h.)

(Formerly: STAT 0103.)

Prerequisite: Mathematics C075 (taken prior to Summer 2007 session) 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.


3503. Intermediate Business Statistics (3 s.h.)

(Formerly: STAT 0351.)

Prerequisite: Statistics 2102 (0022) and Statistics 2512 (0212) or equivalent courses with permission.

Topics will be chosen from multiple regression, 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.


3580. Special Topics – Statistics (3 s.h.)

(Formerly: STAT 0394.)

Special topics in current developments in the field of statistics.


3582. Independent Study (1 to 6 s.h.) SS.

(Formerly: STAT 0395.)

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

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