4.7 Statistics for Scientists and Engineers: A Program of Short Courses

Mark Vangel, Jim Filliben, Mark Levenson, Keith Eberhardt

Will Guthrie, Stefan Leigh, Eric Lagergren, Nien Fan Zhang

Statistical Engineering Division, CAML

Statistical concepts and methods are indispensable to research efficiency and planning as well as the characterization of uncertainty in measurements. Hence, the Statistical Engineering Division offers a program of short courses, primarily for the NIST community. The main objective of these courses is to develop an appreciation of the meaning and usefulness of basic statistical concepts and techniques, leading at least to the ability to interpret reliably statistical analyses performed by others. In addition, sufficiently motivated scientists or engineers will be able to learn to perform their own basic statistical analyses. Each course covers some aspect of statistics, with an emphasis on applications to science and engineering problems. Together, the following courses comprise a unified program in elementary applied statistics:

• Introduction to Statistical Concepts
  Mark G. Vangel
  Monday 9-12, 2/26/96, 3/4/96, 3/11/96
  
• Exploratory Data Analysis
  James J. Filliben
  Monday 9-12, 4/1/96, 4/8/96, 4/15/96

  
  

• Statistical Intervals and Uncertainty
  Mark Levenson
  Monday 9-12, 4/29/96, 5/6/96, 5/13/96

  
  

• Case Studies in Uncertainty Analysis
  Keith Eberhardt
  Tuesday 9-12, 5/28/96; Monday 9-12, 6/3/96

  
  

• Regression Models
  William Guthrie
  Friday 9-12, 9/13/96, 9/20/96, 9/27/96

  
  

• Analysis of Variance
  Stefan Leigh
  Friday 9-12, 10/11/96, 10/18/96, 10/25/96

  
  

• Design of Experiments
  Eric Lagergren
  Friday 9-12, 11/8/96, 11/15/96, 11/22/96

  
  

• Time Series Analysis
  Nien Fan Zhang
  January, 1997

       

Date created: 7/20/2001
Last updated: 7/20/2001
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