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STATISTICS 119: Analysis of Variance
3.00 Credits
George Washington University
Staff Lecture (3 hours), laboratory (1 hour). Introduction to the design of experiments and analysis of variance; randomized block, factorial, Latin square designs, and analysis of covariance. Prerequisite: Stat 118. (Spring)
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STATISTICS 119 - Analysis of Variance
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STATISTICS 123: Introduction to Econometrics
3.00 Credits
George Washington University
Staff Same as Econ 123.
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STATISTICS 123 - Introduction to Econometrics
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STATISTICS 127: Statistics for the Biological Sciences
3.00 Credits
George Washington University
Lai Introduction to statistical techniques and reasoning applicable to the biomedical and related sciences. Properties of basic probability functions: binomial, Poisson, and normal. Data analysis, inference, and experimental design. (Spring)
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STATISTICS 127 - Statistics for the Biological Sciences
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STATISTICS 129: Introduction to Computing
3.00 Credits
George Washington University
Mahmoud, Teitel Introduction to elements of computer programming and problem-solving using Pascal. Hands-on experience will be acquired through computer programming projects, including some simple statistical applications. (Fall and spring)
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STATISTICS 129 - Introduction to Computing
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STATISTICS 157-58: Introduction to Mathematical Statistics
3.00 Credits
George Washington University
Pan, Mahmoud Stat 157: Basic concepts of probability theory, including random variables, independence, distribution theory, and sampling theory. Stat 158: Inference procedures, including estimation, hypothesis testing, regression analysis, and experimental design. Prerequisite: Math 32 or equivalent. (Academic year)
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STATISTICS 157-58 - Introduction to Mathematical Statistics
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STATISTICS 173: Discrete Systems Simulation
3.00 Credits
George Washington University
Staff Same as EMSE 173.
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STATISTICS 173 - Discrete Systems Simulation
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STATISTICS 181: Applied Time Series Analysis
3.00 Credits
George Washington University
Stroud Autoregressive integrated moving average (ARIMA) modeling and forecasting of univariate time series. Estimation of spectral density functions, white noise tests, and tests for periodicities. Theory and applications using SAS. Prerequisite: Math 33, Stat 157-58 or 118. (Spring)
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STATISTICS 181 - Applied Time Series Analysis
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STATISTICS 183: Intermediate Statistical Laboratory:Statistical Computing Packages
3.00 Credits
George Washington University
Modarres Application of program packages (e.g., SAS, SPSS) to the solution of one-, two- and k-sample parametric and nonparametric statistical problems. Basic concepts in data preparation, modification, analysis and interpretation of results. Prerequisite: an introductory statistics course. (Fall and spring)
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STATISTICS 183 - Intermediate Statistical Laboratory:Statistical Computing Packages
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STATISTICS 187: Introduction to Sampling
3.00 Credits
George Washington University
Nayak Problems of sampling and sample design. Simple random, stratified, systematic, cluster, and multistate designs; control of sampling and non-sampling errors. Prerequisite: Stat 91 or equivalent. (Fall)
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STATISTICS 187 - Introduction to Sampling
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STATISTICS 188: Nonparametric Statistical Inference
3.00 Credits
George Washington University
Staff Statistical inference when the form of the underlying distribution is not fully specified. Nonparametric procedures for estimation and testing hypotheses. An introduction to robust procedures. Prerequisite: Stat 91 or equivalent. (Fall, even years)
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STATISTICS 188 - Nonparametric Statistical Inference
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