**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). *

This course is designed to provide an overview of the field 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). *

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

**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). *

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.

**425/Math. 425. Introduction to Probability. *** Math.
215. (3). (N.Excl). *

See Math. 425.

**426. Introduction to Mathematical Statistics. *** Stat.
425. (3). (NS). *

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 prerequisiste for many 500-level statistics courses.

University of Michigan | College of LS&A | Student Academic Affairs | LS&A Bulletin Index

This page maintained by LS&A Academic Information and Publications, 1228 Angell Hall

The Regents
of the University of Michigan,

Ann Arbor, MI 48109 USA +1 734 764-1817

Trademarks of the University of Michigan may not be electronically or otherwise altered or separated from this document or used for any non-University purpose.