100. Introduction to Statistical Reasoning. No credit granted to those who have completed or are enrolled in Soc. 210, Poli.Sci. 280, Stat. 402, 311, 405, or 412, or Econ. 404. (4). (NS). (BS). (QR/1).
This course is designed to provide an overview of the field of statistics. Course topics include methods of analyzing and summarizing data, statistical reasoning as a means of learning from observations (experimental or sample), and techniques for dealing with uncertainties in drawing conclusions from collected data. Basic fallacies in common statistical analyses and reasoning are discussed and proper methods indicated. Alternative approaches to statistical inference are also discussed. The course emphasis is on presenting basic underlying concepts rather than on covering a wide variety of different methodologies. The course format is lecture with some discussion. Cost:2 WL:3
402. Introduction to Statistics and Data Analysis. No credit granted to those who have completed or are enrolled in Econ. 404 or Stat. 311, 405, or 412. (4). (NS). (BS). (QR/1).
In this course students are introduced to the concepts and applications of statistical methods and data analysis. Statistics 402 has no prerequisite and has been elected by students whose mathematics background includes only high school algebra. Examples of applications are drawn from virtually all academic areas and some attention is given to statistical process control methods. The course format includes six hours of lecture per week and 3 hours of laboratory per week. The laboratory section deals with the computational aspects of the course and provides a forum for review of lecture material. For this purpose, students are introduced to the use of a micro-computer package and the Macintosh computer. Cost:2 WL:3
407. Data Analysis – A Computer Approach. Stat. 402. No credit granted to statistics undergraduate concentrators. (2). (Excl).
This course is designed to give a student "hands on" experience in implementing quantitative research by using several modern statistical computing packages. The course will emphasize important practical aspects of data analysis not usually taught in introductory statistics courses. Students must elect one of several satellite laboratory sessions (on SAS, SPSS, etc.). This course will meet during the month of May. (Rothman)
412. Introduction to Probability and Statistics. Prior or concurrent enrollment in Math. 215 and CS 183. No credit granted to those who have completed or are enrolled in 311 or 405. One credit granted to those who have completed Stat. 402. (3). (Excl). (BS).
An introduction to probability theory; statistical models, especially sampling models; estimation and confidence intervals; testing statistical hypotheses; and important applications, including the analysis of variance and regression.
426. Introduction to Mathematical Statistics. Stat. 425. (3). (NS). (BS).
Treatment of experimental data, normal sampling theory, confidence intervals, and tests of hypotheses, and introduction to regression and analysis of variance. This course serves as a prerequisite for many 500-level statistics courses.
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