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Spring/Summer '99 Course Guide

Courses in Statistics (Division 489)


Calendars

Spring Half-Term, 1999 (May 3 June 22, 1999)
Spring/Summer Term, 1999 (May 3 August 17, 1999)
Summer Half-Term, 1999 (June 28 August 17, 1999)


Skip to a Specific Term's Descriptions:

Spring Half-Term

Spring/Summer Term

Summer Half-Term


Spring Half-Term Courses

Take me to the Spring Half-Term '99 Time Schedule for Statistics.


Stat. 100. Introduction to Statistical Reasoning.

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: No Homepage Submitted.

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 six hours of lecture per week and two hours of laboratory per week.

Check Times, Location, and Availability Cost: 2 Waitlist Code: No Data Given.

Stat. 265/IOE 265. Probability and Statistics for Engineers.

Section 101.

Prerequisites & Distribution: Math. 116 and Engin. 101. No credit granted to those who have completed or are enrolled in Stat. 311, 405, or 412, or Econ. 405. (Excl). (BS).

No Description Provided.

Check Times, Location, and Availability


Stat. 402. Introduction to Statistics and Data Analysis.

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: No Homepage Submitted.

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 three 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.

Check Times, Location, and Availability Cost: 2 Waitlist Code: No Data Given.

Stat. 412. Introduction to Probability and Statistics.

Section 101.

Prerequisites & Distribution: Prior or concurrent enrollment in Math. 215 and CS 183. No credit granted to those who have completed or are enrolled in Econ. 405, or Stat. 265, 311, or 405. One credit granted to those who have completed Stat. 402. (3). (MSA). (BS).

Credits: (3).

Course Homepage: No Homepage Submitted.

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.

Check Times, Location, and Availability Cost: 3 Waitlist Code: No Data Given.

Stat. 425/Math. 425. Introduction to Probability.

Prerequisites & Distribution: Math. 215, 255, or 285. (3). (MSA). (BS).

No Description Provided.

Check Times, Location, and Availability


Stat. 499. Honors Seminar.

Prerequisites & Distribution: Permission of departmental Honors advisor. (2-3). (Excl). (INDEPENDENT).

No Description Provided.

Check Times, Location, and Availability


Spring/Summer Term Courses

Take me to the Spring/Summer Term '99 Time Schedule for Statistics.


Summer Half-Term Courses

Take me to the Summer Half-Term '99 Time Schedule for Statistics.


Stat. 100. Introduction to Statistical Reasoning.

Section 201.

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: No Homepage Submitted.

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 six hours of lecture per week and two hours of laboratory per week.

Check Times, Location, and Availability Cost: 2 Waitlist Code: No Data Given.

Stat. 100. Introduction to Statistical Reasoning.

Section 202.

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: No Homepage Submitted.

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 six hours of lecture per week and two hours of laboratory per week.

Check Times, Location, and Availability Cost: 2 Waitlist Code: No Data Given.

Stat. 402. Introduction to Statistics and Data Analysis.

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: No Homepage Submitted.

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 three 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.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

Stat. 425/Math. 425. Introduction to Probability.

Section 201.

Prerequisites & Distribution: Math. 215, 255, or 285. (3). (MSA). (BS).

Credits: (3).

Course Homepage: No Homepage Submitted.

See Mathematics 425.201.

Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: No Data Given.

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