Statistics

The Department of Statistics offers courses in the basic principles and techniques of probability and statistics, advanced theory and methods courses, courses in stochastic processes and methods, and courses statistical methods in finance.

For questions about specific courses, contact the department.

 

The course information displayed on this page relies on an external system and may be incomplete. Please visit Statistics on the Directory of Classes for complete course information.

After finding your course in the Directory of Classes, click on the section number to open an expanded view. The "Open To" field will indicate whether the course is open to School of Professional Studies students. If School of Professional Studies is not included in the field, students may still be able to cross-register for the course by obtaining permission after being admitted to an academic program.

STAT GR5291 Advanced Data Analysis. 3 points.

Prerequisites: W4315 and either another statistics course numbered above the 4200 or permission of instructor.
Required for the major in statistics. Data analysis using a computer statistical package and selected exploratory data analysis subroutines. Topics include editing of data for errors, exploratory and standard techniques for one-way analysis of variance, linear regression, and two-way analysis of variance. Material is presented in case-study format

Fall 2016: STAT GR5291
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 5291 001/14347 F 6:10pm - 8:55pm
309 Havemeyer Hall
Demissie Alemayehu 3 223/272
Spring 2017: STAT GR5291
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 5291 001/22219 F 10:10am - 12:40pm
312 Mathematics Building
Hammou ElBarmi 3 35/75

STAT GU4001 Introduction to Probability and Statistics. 3 points.

BC: Fulfillment of General Education Requirement: Quantitative and Deductive Reasoning (QUA).

Prerequisites: Calculus through multiple integration and infinite sums.

A calculus-based tour of the fundamentals of probability theory and statistical inference. Probability models, random variables, useful distributions, conditioning, expectations, law of large numbers, central limit theorem, point and confidence interval estimation, hypothesis tests, linear regression.  This course replaces SIEO 4150.

Fall 2016: STAT GU4001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4001 001/62983 T Th 8:40am - 9:55am
207 Mathematics Building
Larry Wright 3 46/120
STAT 4001 002/23283 M W 2:40pm - 3:55pm
501 Northwest Corner
Mark Brown 3 131/150
Spring 2017: STAT GU4001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4001 001/21880 T Th 1:10pm - 2:25pm
207 Mathematics Building
David Rios 3 88/110
STAT 4001 002/17296 M W 2:40pm - 3:55pm
312 Mathematics Building
Mark Brown 3 94/110

STAT GU4204 Statistical Inference. 3 points.

CC/GS: Partial Fulfillment of Science Requirement, BC: Fulfillment of General Education Requirement: Quantitative and Deductive Reasoning (QUA).

Prerequisites: STAT GU4203. At least one semester of calculus is required; two or three semesters are strongly recommended.

Calculus-based introduction to the theory of statistics. Useful distributions, law of large numbers and central limit theorem, point estimation, hypothesis testing, confidence intervals maximum likelihood, likelihood ratio tests, nonparametric procedures, theory of least squares and analysis of variance.

Fall 2016: STAT GU4204
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4204 003/27746 T Th 4:10pm - 5:25pm
501 Northwest Corner
Abolfazal Safikhani 3 26/90
STAT 4204 D04/19259 M W 8:40am - 11:25am
903 School Of Social Work
Regina Dolgoarshinnykh 3 10/15
Spring 2017: STAT GU4204
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4204 001/76505 M W 1:10pm - 2:25pm
214 Pupin Laboratories
Gabriel Young 3 50/60
STAT 4204 002/63229 M W 6:10pm - 7:25pm
614 Schermerhorn Hall
Abolfazal Safikhani 3 18/35

STAT GU4231 Survival Analysis. 0 points.

BC: Fulfillment of General Education Requirement: Quantitative and Deductive Reasoning (QUA).

Prerequisites: STAT GU4205 or the equivalent.

Survival distributions, types of censored data, estimation for various survival models, nonparametric estimation of survival distributions, the proportional hazard and accelerated lifetime models for regression analysis with failure-time data. Extensive use of the computer.

Spring 2017: STAT GU4231
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4231 001/12349 M W 6:10pm - 7:25pm
903 School Of Social Work
Michael Shnaidman 0 2/25

STAT GU4281 Theory of Interest. 3 points.

CC/GS: Partial Fulfillment of Science Requirement

Prerequisites: At least one semester of calculus.

Introduction to the mathematical theory of interest as well as the elements of economic and financial theory of interest. Topics include rates of interest and discount; simple, compound, real, nominal, effective, dollar (time)-weighted; present, current, future value; discount function; annuities; stocks and other instruments; definitions of key terms of modern financial analysis; yield curves; spot (forward) rates; duration; immunization; and short sales. The course will cover determining equivalent measures of interest; discounting; accumulating; determining yield rates; and amortization.

Spring 2017: STAT GU4281
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4281 001/13787 M W 2:40pm - 3:55pm
313 Pupin Laboratories
Yuchong Zhang 3 23/27

STAT GU4282 Linear Regression and Time Series Methods. 3 points.

CC/GS: Partial Fulfillment of Science Requirement

Prerequisites: STAT GU4204 or the equivalent.

A one semester course covering: simple and multiple regression, including testing, estimation, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Linear time series models. Auto-regressive, moving average and ARIMA models. Estimation and forecasting with time series models. Confidence intervals and prediction error. Students may not receive credit for more than two of STAT W4315, W4437, and W4440. Satisfies the SOA VEE requirements in regression and in time-series.

Fall 2016: STAT GU4282
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4282 001/88648 T Th 1:10pm - 2:25pm
413 Kent Hall
Flavio Bartman 3 70/70
Spring 2017: STAT GU4282
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 4282 001/10089 M W 2:40pm - 3:55pm
5ab Kraft Center
Flavio Bartman 3 48/65

STAT UN1001 Introduction to Statistical Reasoning. 3 points.

CC/GS: Partial Fulfillment of Science Requirement, BC: Fulfillment of General Education Requirement: Quantitative and Deductive Reasoning (QUA).

A friendly introduction to statistical concepts and reasoning with emphasis on developing statistical intuition rather than on mathematical rigor. Topics include design of experiments, descriptive statistics, correlation and regression, probability, chance variability, sampling, chance models, and tests of significance.

Fall 2016: STAT UN1001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 1001 001/62634 M W 10:10am - 11:25am
233 Seeley W. Mudd Building
Joyce Robbins 3 45/48
STAT 1001 002/20936 T Th 10:10am - 11:25am
833 Seeley W. Mudd Building
Guy Cohen 3 81/85
STAT 1001 003/63777 M W 6:10pm - 7:25pm
517 Hamilton Hall
Ha Nguyen 3 69/85
Spring 2017: STAT UN1001
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 1001 001/76540 T Th 6:10pm - 7:25pm
312 Mathematics Building
Anthony Donoghue 3 46/110
STAT 1001 002/73953 T Th 2:40pm - 3:55pm
214 Pupin Laboratories
Yayun Hsu 3 17/50
STAT 1001 003/67625 M W 10:10am - 11:25am
516 Hamilton Hall
Louis Mittel 3 47/50

STAT UN1101 Introduction to Statistics. 3 points.

CC/GS: Partial Fulfillment of Science Requirement, BC: Fulfillment of General Education Requirement: Quantitative and Deductive Reasoning (QUA).

Prerequisites: intermediate high school algebra.

Designed for students in fields that emphasize quantitative methods. Graphical and numerical summaries, probability, theory of sampling distributions, linear regression, analysis of variance, confidence intervals and hypothesis testing. Quantitative reasoning and data analysis. Practical experience with statistical software. Illustrations are taken from a variety of fields. Data-collection/analysis project with emphasis on study designs is part of the coursework requirement.

Fall 2016: STAT UN1101
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 1101 001/27845 M W 11:40am - 12:55pm
310 Fayerweather
Banu Baydil 3 77/96
STAT 1101 002/14337 T Th 11:40am - 12:55pm
417 International Affairs Bldg
David Rios 3 71/96
STAT 1101 003/16613 T Th 6:10pm - 7:25pm
602 Hamilton Hall
David Rios 3 38/96
Spring 2017: STAT UN1101
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 1101 001/28974 M W 11:40am - 12:55pm
203 Mathematics Building
Banu Baydil 3 63/86
STAT 1101 002/76665 T Th 11:40am - 12:55pm
517 Hamilton Hall
Banu Baydil 3 70/86
STAT 1101 003/27319 T Th 6:10pm - 7:25pm
717 Hamilton Hall
Banu Baydil 3 54/86

STAT UN1201 Calculus-Based Introduction to Statistics. 3 points.

CC/GS: Partial Fulfillment of Science Requirement, BC: Fulfillment of General Education Requirement: Quantitative and Deductive Reasoning (QUA).

Prerequisites: one semester of calculus.

Designed for students who desire a strong grounding in statistical concepts with a greater degree of mathematical rigor than in STAT W1111. Random variables, probability distributions, pdf, cdf, mean, variance, correlation, conditional distribution, conditional mean and conditional variance, law of iterated expectations, normal, chi-square, F and t distributions, law of large numbers, central limit theorem, parameter estimation, unbiasedness, consistency, efficiency, hypothesis testing, p-value, confidence intervals, maximum likelihood estimation. Serves as the pre-requisite for ECON W3412.

Fall 2016: STAT UN1201
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 1201 001/68511 M W 8:40am - 9:55am
517 Hamilton Hall
John Cunningham 3 81/85
STAT 1201 002/75527 T Th 8:40am - 9:55am
517 Hamilton Hall
Anthony Donoghue 3 66/85
STAT 1201 003/70931 M W 4:10pm - 5:25pm
517 Hamilton Hall
John Cunningham 3 73/85
STAT 1201 004/10111 F 11:40am - 2:25pm
517 Hamilton Hall
Sheela Kolluri 3 31/85
Spring 2017: STAT UN1201
Course Number Section/Call Number Times/Location Instructor Points Enrollment
STAT 1201 001/19141 T Th 10:10am - 11:25am
C03 School Of Social Work
David Rios 3 46/86
STAT 1201 002/60742 T Th 8:40am - 9:55am
207 Mathematics Building
Joyce Robbins 3 82/86
STAT 1201 003/67320 M W 6:10pm - 7:25pm
602 Hamilton Hall
Ha Nguyen 3 80/86
STAT 1201 004/10614 F 11:40am - 2:25pm
207 Mathematics Building
Sheela Kolluri 3 49/86

STAT W4201 Advanced Data Analysis. 3 points.

Prerequisites: W4315 and either another statistics course numbered above the 4200 or permission of instructor.
Required for the major in statistics. Data analysis using a computer statistical package and selected exploratory data analysis subroutines. Topics include editing of data for errors, exploratory and standard techniques for one-way analysis of variance, linear regression, and two-way analysis of variance. Material is presented in case-study format

STAT W4315 Linear Regression Models. 3 points.

Prerequisites: STAT W3000 or the equivalent and STAT W3659 or the equivalent.
Corequisites: MATH V2110, V1101, and V1102
Theory and practice of regression analysis. Simple and multiple regression including testing, estimation and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, fixed effects ANOVA and ANCOVA models, nonlinear regression, multiple comparisons, co-linearity and confounding, model selection. Emphasis on geometric approach to the theory and computer use to analyze data

The University reserves the right to withdraw or modify the courses of instruction or to change the instructors as may become necessary.