Fall '99 Course Guide

Courses in Statistics (Division 489)

Fall Term, 1999 (September 8 - December 22, 1999)

Take me to the Fall Term '99 Time Schedule for Statistics.

Stat. 100. Introduction to Statistical Reasoning.

Section 001 – Midterm Exam on Thursday, October 28, 6-8 pm.

Instructor(s): Biswas

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stat. 265, 311, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/100F99/

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. The course emphasis is on presenting basic underlying concepts rather than on covering a wide variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, in-class quizzes, weekly homework, and lab participation. The course format includes three lectures (3 hours per week) and a laboratory (1 hour per week).

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 100. Introduction to Statistical Reasoning.

Section 002 – Midterm Exam on Thursday, October 28, 6-8 pm.

Instructor(s): Dass

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stat. 265, 311, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/100F99/

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. The course emphasis is on presenting basic underlying concepts rather than on covering a wide variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, in-class quizzes, weekly homework, and lab participation. The course format includes three lectures (3 hours per week) and a laboratory (1 hour per week).

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 100. Introduction to Statistical Reasoning.

Section 003 – Midterm Exam on Thursday, October 28, 6-8 pm.

Instructor(s): Brenda Gunderson (bkg@umich.edu)

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stat. 265, 311, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/100F99/

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. The course emphasis is on presenting basic underlying concepts rather than on covering a wide variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, in-class quizzes, weekly homework, and lab participation. The course format includes three lectures (3 hours per week) and a laboratory (1 hour per week).

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 100. Introduction to Statistical Reasoning.

Section 004 – Midterm Exam on Thursday, October 28, 6-8 pm.

Instructor(s): Martha Aliaga (aliaga@umich.edu)

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stat. 265, 311, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/100F99/

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. The course emphasis is on presenting basic underlying concepts rather than on covering a wide variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, in-class quizzes, weekly homework, and lab participation. The course format includes three lectures (3 hours per week) and a laboratory (1 hour per week).

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 001 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Instructor(s): Mielniczuk

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 002 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Instructor(s): Ed Rothman (erothman@umich.edu)

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 003 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Instructor(s): Biswas

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 004 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Instructor(s): Brenda Gunderson (bkg@umich.edu)

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 005 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Instructor(s): Gore

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 006 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Stat. 402. Introduction to Statistics and Data Analysis.

Section 007 – Evening Exams: Wednesday, October 13 and Wednesday, November 17, from 6-8 pm.

Instructor(s): Bingham

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stat. 265, 311, 405, or 412. (4). (NS). (BS). (QR/1).

Full QR

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/402F99/

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 lectures (3 hours per week) and a laboratory (l.5 hours 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 statistical analysis-computer package. Course evaluation is based on a combination of two examinations GIVEN WEDNESDAY EVENINGS, a final examination, weekly homework, and lab participation, statistical analysis. Include: Term exams on Wednesday, October 13, 6-8 P.M. and Wednesday November 17, 6-8 P.M.

Check Times, Location, and Availability Cost: 2 Waitlist Code: 3

Copyright © 1999
The Regents of the University of Michigan, Ann Arbor, MI 48109 USA
1.734.764.1817 (University Operator)

This page was created at 8:01 AM on Wed, Sep 29, 1999.