Rutgers, The State University of New Jersey
Undergraduate-New Brunswick
 
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Undergraduate Education in New Brunswick
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Accounting 010
African, Middle Eastern, and South Asian Languages and Literatures 013
Africana Studies 014
African Area Studies 016
Aging 018
American History 512
American Literature
American Studies 050
Anthropology 070
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Armenian 078
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Asian Studies 098
Astrophysics 105
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Cell Biology
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Chinese 165
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Classics
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Comparative Literature 195
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Dance 203, 206
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Economics 220
Education 300
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English
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Exercise Science and Sport Studies 377
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Food Science 400
Foreign Language Proficiency Certificates
French 420
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Geography 450
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German 470
Gerontology
Greek 490
Greek, Modern Greek Studies 489
Hindi
History
History/French Joint Major 513
History/Political Science Joint Major 514
Human Resource Management 533
Hungarian 535
Individualized Major 555
Information Technology and Informatics 547
Interdisciplinary Studies, SAS 556
Italian 560
Japanese 565
Jewish Studies 563
Journalism and Media Studies 567
Junior Year Abroad
Korean 574
Labor Studies and Employment Relations 575
Latin 580
Latin American Studies 590
Latino and Hispanic Caribbean Studies 595
Law
Life Sciences
Linguistics 615
Management 620
Marine Sciences 628
Marketing 630
Mathematics 640
Medical Technology 660
Medicine and Dentistry
Medieval Studies 667
Microbiology
Middle Eastern Studies 685
Military Education, Air Force 690
Military Education, Army 691
Molecular Biology
Music
Nursing
Nutritional Sciences 709
Operations Research 711
Organizational Leadership 713
Pharmacy
Philosophy 730
Physics 750
Physiology and Neurobiology
Planning and Public Policy 762
Polish 787
Political Science 790
Portuguese 810
Psychology 830
Public Health 832
Religion 840
Russian 860
Russian, Central and East European Studies 861
Science, Technology, and Society 880
Critical Sexualities Studies 888
Social Justice 904
Social Work 910
Sociology 920
South Asian Studies 925
Spanish 940
Statistics 960
Learning Goals
Major Requirements
Sequence of Courses for Nonmajors*
Minor Requirements
Courses
Statistics-Mathematics
Study Abroad 959
Theater Arts 965, 966
Ukrainian 967
Urban Studies
Visual Arts
Women's and Gender Studies 988
School of Arts and Sciences
School of Environmental and Biological Sciences
Mason Gross School of the Arts
Ernest Mario School of Pharmacy
Rutgers Business School: Undergraduate-New Brunswick
School of Communication and Information
School of Engineering
Edward J. Bloustein School of Planning and Public Policy
School of Management and Labor Relations
General Information
Divisions of the University
Camden Newark New Brunswick/Piscataway
Catalogs
New Brunswick Undergraduate Catalog 2009-2011 Programs of Study and Courses for Liberal Arts Students Programs, Faculty, and Courses Statistics 960 Courses  

Courses


In the following course list, the Level II Statistics prerequisite may be fulfilled with 01:960:212 or 384 or 401 or 484 or equivalent. Credit is not given for more than one course fulfilling the Level II Statistics prerequisite.

01:960:211,212 Statistics I,II (3,3) Principles and methods of statistics, including frequency distributions, measures of central tendency and dispersion, simple probability, sampling, regression and correlation analysis, curve fitting, chi-square analysis, test of significance. Prerequisite: 01:640:115 or permission of department. See Level II Statistics restrictions. Credit not given for more than one of 01:960:201, 211, and 285, nor for more than one of 01:960:212, 384, and 401.
01:960:285 Introductory Statistics for Business (3) Topics include descriptive statistics, probability, random variables, sampling distributions, principles of hypothesis testing, and one and two sample T-tests. Prerequisite: 01:640:115 or equivalent. Credit not given for more than one of 01:960:201, 211, and 285.
01:960:379 Basic Probability and Statistics (3) Methods of presenting data; basic statistical measures of location; frequency distributions; elementary probability theory; probability distributions; the binomial, Poisson, and normal distributions; basic sampling theory. Prerequisite: One semester of calculus.
01:960:381 Theory of Probability (3) Probability distributions; the binomial, geometric, exponential, Poisson, and normal distributions; moment-generating functions; sampling distributions; applications of probability theory. Prerequisites: Three semesters of calculus.
01:960:382 Theory of Statistics (3) Statistical inference methods, point and interval estimation, maximum likelihood estimators, information inequality, hypothesis testing, Neyman-Pearson lemma, linear models. Prerequisite: 01:960:381 or equivalent.
01:960:384 Intermediate Statistical Analysis (3)   Application of statistical techniques to the analysis of data, tests of significance, correlation and regression analysis, confidence intervals, analysis of variance, and some design of experiments; analysis of cross-classified data, chi-square tests. Course requires the use of basic statistics computer package. Prerequisite: One of the following courses: 01:960:201, 211, 285, 379, 381, or permission of instructor. Credit not given for both this course and 01:960:212 or 484 or 401. (Formerly 01:960:380.)
01:960:390 Introductory Computing for Statistics (1) Introduction to the use of statistics computer packages with main focus on the SAS system. Includes generating random samples, estimation, testing hypothesis, ANOVA. Five-week course; 3 hrs. lec. and lab. Prerequisite: Level II Statistics. Graded on a Pass/Fail (undergraduate) and S/U (graduate) basis.
01:960:391,392 Honors Seminars in Probability/Statistics (3,3) Real-life examples or case studies on statistics and probability theory and their ramifications. Topics may vary each semester. Extensive data analysis required. Prerequisite: CALC1 or permission of department. Corequisite: CALC2. Open to students in school honors programs.
01:960:401 Basic Statistics for Research (3) As applied in fields other than statistics; treats research projects dependent on the use of observed data from planned experiments. Includes inference methods in estimation and hypothesis testing and general linear models. Prerequisite: 01:640:115 or equivalent. For students in the biological sciences, materials science and engineering, computer science, pharmacy, etc. May be followed by 01:960:490, or 16:960:590 with permission of department. Credit not given for more than one of 01:960:212, 384, and 401.
01:960:463 Regression Methods (3) Multiple and nonlinear correlation and regression techniques for analysis of events in time and space: analysis of variance and covariance, related multivariate techniques, response surface approaches. Prerequisite: Level II Statistics.
01:960:467 Applied Multivariate Analysis (3) Introduction to the methodology of multivariate analysis. Multiple linear regression, discriminant analysis, profile analysis, canonical correlation, principal components, and factor analysis. Prerequisite: Level II Statistics or permission of department.
01:960:476 Introduction to Sampling (3) Principles of sampling application for economic procurement or assessment of data. Current techniques for area sampling, sampling of accounts, large-scale surveys, stratification, cluster sampling, systematic sampling, two-stage sampling, and construction of estimates. Prerequisites: Level II Statistics and 01:960:379 or 381 or equivalent, or permission of department.
01:960:483 Statistical Quality Control (3) Statistical measures; histogram analysis; construction and analysis of control charts for variables and attributes; use of Dodge-Romig and Military Standards acceptance sampling plans; statistical aspects of tolerances. Prerequisite: One semester of statistics at the college level.
01:960:484 Basic Applied Statistics (3) Confidence estimation, hypothesis testing, chi-square methods, correlation and regression analysis, basis of design of experiments. Prerequisite: One of the following courses: 01:960:201, 211, 285, 379, 381, or permission of instructor. Credit not given for both this course and 01:960:212 or 384 or 401.
01:960:486 Computing and Graphics in Applied Statistics (3) Use of various computer-based techniques, including graphical, to understand and interpret data. Exposure to basic analysis of categorical, time-series, and multivariate data in applied areas such as biostatistics, quality control, and others. Prerequisite: Level II Statistics.
01:960:490 Introduction to Experimental Design (3) Basic concept and principles of designs. Nature and analysis of various designs; randomized blocks, Latin squares, factorial designs. Applications to specific problems. Prerequisite: Level II Statistics.
01:960:491 Reliability-Quality Control (3) Survey of current theory and practice in this field. Prerequisites: 01:640:251 and Level II Statistics.
01:960:495 Independent Studies in Statistics (3) Prerequisite: Permission of department.
 
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