Abstract Details
Activity Number:
|
518
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Statistical Education
|
Abstract #311878
|
|
Title:
|
Statistics for Engineers Class Projects: Capstone or Confusion
|
Author(s):
|
Charles Smith*+ and Kimberly Weems and Renee' Moore
|
Companies:
|
North Carolina State University and North Carolina State University and North Carolina State University
|
Keywords:
|
student projects ;
education ;
experimental design ;
distance education ;
engineering
|
Abstract:
|
ST 370 Statistics for Engineers is structured differently than most other introductory statistics courses, in that the order of topics is reversed. Collection and Analysis of Data, Experimental Design and Factorial Experiments, ANOVA and regression, are covered BEFORE probability, random variables, and the central limit theorem. One main reason is so that the students can do a two or three factor designed experiment of their choosing as their course project (20 % of the final grade). Several mechanisms have been employed to try to encourage success in this endeavor. Three instructors will present some of the things that have worked well and some that have worked less well. Students may do the project alone or in groups of 2 or 3; this creates some additional challenges for the web and distance sections of the course.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.