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Course Criteria
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3.00 Credits
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.
Prerequisite:
C- or better grade in STAT 1001 (C011) or in MATH 1022 (C074). A C- grade in MATH 1011 (C055) plus a passing grade on the STAT 1001 (C011) challenge exam. Or, a sufficient score on the Math Placement exam to waive STAT 1001 (C011)
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3.00 Credits
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.
Prerequisite:
C- or better grade in STAT 1001 (C011) or in MATH 1022 (C074). A C- grade in MATH 1011 (C055) plus a passing grade on the STAT 1001 (C011) challenge exam. Or, a sufficient score on the Math Placement exam to waive STAT 1001 (C011)
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3.00 Credits
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: (1) It is recommended that Fox School students take Statistics 2103 instead of 2101 and 2102 UNLESS they are repeating 2101 for a higher grade. (2) This course can be used to satisfy the university Core Quantitative Reasoning B (QB) requirement or the GenEd Quantitative Literacy (GQ) requirement.
Prerequisite:
C- or better grade in STAT 1001 (C011), or in MATH 1011 (C055), C075 (taken prior to Summer 2007 session), or 1041 (C085)
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3.00 Credits
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.)
Prerequisite:
C- or better grade in STAT 2101 (C021) or 2901 (H093), and completion of one calculus course [e.g.: STAT 1102 (C012) or MATH C075 (taken prior to Summer 2007 session), 1031 (C077), or 1041 (C085)]
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4.00 Credits
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.
Prerequisite:
C- or better grade in STAT 1001 (C011) or in MATH 1011 (C055), C075 (taken prior to Summer 2007 session), or 1041 (C085). Completion of calculus (one of the following: STAT 1102 (C012) or MATH C075, 1031 (C077), or 1041 (C085) is preferred)
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3.00 Credits
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.
Prerequisite:
ACT SCI 2101 (0262) or MATH 3031 (0233) or its equivalent
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3.00 Credits
This course presents practical applications of statistical methods using software. The emphasis is on giving students experience in solving real life problems using appropriate statistical methods. Statistical techniques studied include organization and presentation of data, statistical testing, multiple regression, Chi-Square tests and logistic regression. Case studies and projects, with applications, are used to show the application of statistical methods to business problems. Through this course students should be able to select, utilize and apply quantitative statistical methods to real life problems, and get familiar with data analysis using statistical software. The main statistical software we use is SPSS. Students will also be exposed to other packages, such as Excel and R.
Prerequisite:
STAT 2103 or 2903 with a minimum grade of C
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3.00 Credits
This course presents the principal applications of sample surveys, survey design, criteria of a good sample design, and characteristics of simple random sampling, stratified random sampling, and cluster sampling. Case studies are used where appropriate to illustrate applications of survey sampling. Emphasis will be placed on both the theory and methodology of surveying and include sampling principles, sample design, questionnaire construction, and response problems.
Prerequisite:
C or better grade in STAT 2103 or 2903 or equivalent course
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3.00 Credits
The first part of this course provides students with insight into statistically designed experiments and related topics. The course covers the fundamental statistical concepts required for designing efficient experiments to answer real questions. The fundamental concepts of replication, blocking, and randomization are examined. Topics covered include block designs, balanced incomplete block designs, and Latin Square designs. Additional topics include factorial experiments, fractional factorial designs, and orthogonal arrays. The course also introduces students to response surface methodology, mixture designs, and conjoint analysis. Quality improvement can be accomplished using experimental design principles. The second part of the course covers the core principles of the management of quality in the production of goods and services. Statistical quality control techniques are used in the implementation of these principles. Topics covered include control charts, cusum procedures, and Taguchi methods.
Prerequisite:
STAT 2103 or 2903 with a minimum grade of C
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3.00 Credits
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.
Prerequisite:
STAT 1902 (H092) or MATH C075 (taken prior to Summer 2007 session) or 1041 (C085). Open only to business designated Honors students or with special permission
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