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# Courses in Statistics

This page was created at 7:40 AM on Mon, Jul 1, 2002.

## Summer Half-Term Courses

### STATS 350(250/402). Introduction to Statistics and Data Analysis.

#### Instructor(s):

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stats. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

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 350 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, a final examination, weekly homework, and lab participation.

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

### STATS 425 / MATH 425. Introduction to Probability.

#### Instructor(s):

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

Credits: (3).

Course Homepage: No homepage submitted.

In this course students are introduced to the basic concepts of probability; expectation, variance, and covariance; distribution functions; and bivariate, marginal, and conditional distributions.

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

### STATS 466 / IOE 466 / MFG 466. Statistical Quality Control.

#### Instructor(s):

Prerequisites & Distribution: Stats. 265 and Stats. 401 or IOE 366. (4). (Excl). (BS). CAEN lab access fee required for non-Engineering students.

Credits: (4).

Lab Fee: CAEN lab access fee required for non-Engineering students.

Course Homepage: No homepage submitted.

No Description Provided. Contact the Department.

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

## Spring Half-Term Courses

### STATS 100. Introduction to Statistical Reasoning.

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

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Soc. 210, Stats. 250, 350, 402, 405, or 412, or Econ. 404 or 405. (4). (MSA). (BS). (QR/1).

Credits: (4).

Course Homepage: http://www.stat.lsa.umich.edu/~bkg/stat100/

This course provides an overview of the field of statistics, including methods of summarizing and analyzing data, statistical reasoning for learning from observations (experimental or sample), and techniques for dealing with uncertainties in drawing conclusions from collected data. Emphasis is on presenting underlying concepts rather than covering a variety of different methodologies. Course evaluation is based on a combination of a Thursday evening midterm examination, a final examination, and GSI input. The course format includes lectures and a discussion section (1 hour per week).

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

### STATS 350(250/402). Introduction to Statistics and Data Analysis.

#### Instructor(s): Kirsten Namesnik (silvestr@umich.edu)

Prerequisites & Distribution: No credit granted to those who have completed or are enrolled in Econ. 404 or 405, or Stats. 250, 265, 311, 400, 402, 405, or 412. (4). (NS). (BS). (QR/1).

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 350 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, a final examination, weekly homework, and lab participation.

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

### STATS 412. Introduction to Probability and Statistics.

#### Instructor(s): Yanhong Wu (Yanhong@umich.edu)

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 Stats. 265, 311, 350, 400, or 405. One credit granted to those who have completed Stats. 350 or 402. (3). (Excl). (BS).

Credits: (3).

Course Homepage: No homepage submitted.

The objectives of this course are to introduce students to the basic ideas of probability and statistical inference and to acquaint students with some important data analytic techniques, such as regression and the analysis of variance. Examples will emphasize applications to the natural sciences and engineering. Course evaluation will be based on a combination of regular homework, two midterm examinations, and a final examination.

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

### STATS 425 / MATH 425. Introduction to Probability.

#### Instructor(s):

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

Credits: (3).

Course Homepage: No homepage submitted.

In this course students are introduced to the basic concepts of probability; expectation, variance, and covariance; distribution functions; and bivariate, marginal, and conditional distributions.

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

### STATS 499. Honors Seminar.

#### Instructor(s):

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

Credits: (2-3).

Course Homepage: No homepage submitted.

 Check Times, Location, and Availability Cost: No Data Given. Waitlist Code: 5, Permission of Instructor

## Spring/Summer Term Courses

### Graduate Course Listings for STATS.

This page was created at 7:40 AM on Mon, Jul 1, 2002.