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Statistics 105: Statistics for Engineers
4.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour. Requisite: course 100A or Electrical Engineering 131A or Mathematics 170A. Foundation of basic concepts and techniques of statistics. Topics include sampling distributions, statistical estimation (including maximum likelihood estimation), statistical intervals, and hypothesis testing, with emphasis on application of these concepts. Discussion of methods for checking whether assumptions required for mathematical foundations are appropriate for given set of data. P/NP or letter grading.
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Statistics 105 - Statistics for Engineers
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Statistics 10H: Introduction to Statistical Reasoning
4.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, two hours. Preparation: three years of high school mathematics. Not open for credit to students with credit for course 10, 11, 12, or 13. Descriptive statistics, elementary probability, random variables, binomial and normal distributions. Large and small sample inference concerning means. Introduction to statistical software. Letter grading.
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Statistics 10H - Introduction to Statistical Reasoning
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Statistics 11: Introduction to Statistical Methods for Business and Economics
5.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour; computer laboratory, one hour. Requisite or corequisite: Mathematics 3A or 31A. Not open for credit to students with credit for course 10, 10H, 12, 13, 14, 100A, 100B, 100C, Mathematics 170A, or 170B. Elements of statistical analysis. Presentation and interpretation of data; descriptive statistics; theory of probability and basic sampling distributions; statistical inference, including principles of estimation and tests of hypotheses; introduction to regression and correlation. P/NP or letter grading.
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Statistics 11 - Introduction to Statistical Methods for Business and Economics
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Statistics 110A -110B: Applied Statistics
4.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour. P/NP or letter grading. 110A. Requisites: course 35A or 35B or 35C and Mathematics 3B or 31B, or Mathematics 32B and 33A. Not open to students with credit for Electrical Engineering 131A. Students may receive credit for only two of following: courses 100A, 110A, Biostatistics 100A. Probability, distributions, expectation, estimation, central limit theorem, confidence intervals, testing. 110B. Requisite: course 110A. One- and twosample problems, goodness of fit and contingency tables, correlation and regression, analysis of variance, nonparametrics.
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Statistics 110A -110B - Applied Statistics
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Statistics 112: Statistical Methods for Social Sciences
5.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour. Requisite: course 10. Limited to juniors/seniors. Statistical methods in social sciences, including regression, multivariate techniques, logistic regression, and data-handling and analysis. Applications to social sciences, using professional statistical analysis software package for data analysis. Letter grading.
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Statistics 112 - Statistical Methods for Social Sciences
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Statistics 12: Introduction to Statistical Methods for Geography and Environmental Studies
5.00 Credits
University of California-Los Angeles
Lecture, four hours; discussion, one hour; laboratory, one hour. Not open for credit to students with credit for course 10, 11, or 13 (or former Statistics M11, Anthropology M80, Economics M40, Geography M40, or Sociology M18). Introduction to statistical thinking and understanding, with emphasis on techniques used in geography and environmental science. Underlying logic behind statistical procedures, role of variation in statistical thinking, strengths and limitations of statistical summaries, and fundamental inferential tools. Emphasis on applications in geography and environmental science in laboratory work using professional statistical analysis package, including spatial statistics. P/NP or letter grading.
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Statistics 12 - Introduction to Statistical Methods for Geography and Environmental Studies
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Statistics 13: Introduction to Statistical Methods for Life and Health Sciences
5.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour; laboratory, one hour. Not open for credit to students with credit for course 10, 10H, 11, 12, or 14. Presentation and interpretation of data, descriptive statistics, introduction to correlation and regression and to basic statistical inference (estimation, testing of means and proportions, ANOVA) using both bootstrap methods and parametric models. P/NP or letter grading.
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Statistics 13 - Introduction to Statistical Methods for Life and Health Sciences
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Statistics 130A: Statistical Analysis with STATA
4.00 Credits
University of California-Los Angeles
Lecture, three hours; discussion, one hour. Requisite: one course from 10, 10H, 11, 12, 13, 14, 100A, or 110A. How to manage and analyze quantitative data using STATA statistical software. Graphical analysis and programming and extensions to basic package. P/NP or letter grading.
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Statistics 130A - Statistical Analysis with STATA
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Statistics 130B: Statistical Analysis with SAS
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: one course from 10, 10H, 11, 12, 13, 14, 100A, or 110A. How to manage and analyze quantitative data using statistical procedures produced by Statistical Analysis System (SAS) Institute, Inc. Discussion of many statistical techniques available in SAS and ways to extend basic system by SAS programming. P/NP or letter grading.
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Statistics 130B - Statistical Analysis with SAS
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Statistics 130C: Statistical Analysis with SPSS
4.00 Credits
University of California-Los Angeles
Lecture, three hours. Requisite: one course from 10, 10H, 11, 12, 13, 14, 100A, or 110A. Overview of Statistical Package for Social Sciences (SPSS) software intended for students in any major who have interest in data analysis. Though original design catered to students in social sciences, current development has considerably wider application, with vast range of functionality from simple to more advanced data manipulation and analysis. Ease of use maintained that is popular with students not accustomed to statistical programming. Ability of program to combine ease of use with varied levels of data exploration and inference has made it popularly used analytical tool. P/NP or letter grading.
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Statistics 130C - Statistical Analysis with SPSS
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