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Take me to the Spring Time Schedule
100. Introduction to Statistical Reasoning. 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).
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. Cost:2
WL:3
Check
Times, Location, and Availability
402. Introduction to Statistics and Data Analysis. 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).
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.
Cost:2 WL:3
Check
Times, Location, and Availability
407. Data Analysis - A Computer Approach. Stat. 402. No credit granted to statistics undergraduate concentrators. (2). (Excl). (BS).
This course is designed to give a student "hands on"
experience in implementing quantitative research by using several
SAS or SPSS 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). This course will meet during the month of May. (Rothman)
Check
Times, Location, and Availability
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 Econ. 405, or Stat. 265, 311, or 405. One credit granted to those who have completed Stat. 402. (3). (MSA). (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. Cost:2 WL:3
Check Times, Location, and Availability
425/Math. 425. Introduction to Probability. Math. 215, 255, or 285. (3). (MSA). (BS).
See Mathematics 425.
Check
Times, Location, and Availability
Take me to the Summer Time Schedule
100. Introduction to
Statistical Reasoning. 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).
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. Cost:2
WL:3
Check
Times, Location, and Availability
402. Introduction to
Statistics and Data Analysis. 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).
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. Cost:2
WL:3
Check
Times, Location, and Availability
425/Math. 425. Introduction
to Probability. Math. 215, 255, or 285. (3). (MSA).
(BS).
See Mathematics 425 (Spring
Term).
Check
Times, Location, and Availability
Take me to the Spring/Summer Time Schedule
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