Title: Building Core Concepts with Computational Software
1Building Core Concepts with Computational Software
- Robert H. Carver
- Stonehill College
- Easton MA
August 9, 2004
2Core Concept Candidates
- Population
- Sample
- Variation
- Observation vs. Experiment
- Cross-section vs. longitudinal data
- Comparison
- Standardization
- Probability
- Random
- Random sampling
- Error
- Sampling error
- Statistical control
- Confidence
- Distribution
- Null hypothesis
- Association
- Causation
- Statistical significance vs. Practical
significance - Power
- Model
3Concepts for this segment
- Variation
- Statistical control
- Sampling Error
4ASQ on Statistical Thinking
- All work occurs in a system of interconnected
processes - Variation exists in all processes
- Understanding and reducing variation are keys to
success
5A tale of continuous improvement
Wright 1904 Flyer over Huffman Prairie, Dayton OH
6Wilbur Wright on Control, 1901
- This inability to balance and steer still
confronts students of the flying problem. - When this one feature has been worked out, the
age of flying machines will have arrived, for all
other difficulties are of minor importance.
7Variation Whats up with that?
8Mean flight velocity
9Shapevelocity distance
10Comparison assignable cause?
11Comparison assignable cause?
12Control shrinking variation
13Control
14Developing a feel for Sampling Error
15Developing a feel for Sampling Error
One-Sample T Samp1, Samp2, Samp3, Samp4, Samp5,
Samp6, Samp7, ... Variable N Mean
StDev SE Mean 95 CI Samp1 10
26.1458 7.0527 2.2303 (21.1006,
31.1910) Samp2 10 30.8669 16.0146 5.0643
(19.4107, 42.3231) Samp3 10 23.8366 8.6156
2.7245 (17.6734, 29.9998) Samp4 10
31.1267 7.6951 2.4334 (25.6220,
36.6315) Samp5 10 28.7766 8.6148 2.7242
(22.6139, 34.9393) Samp6 10 28.3671 8.2640
2.6133 (22.4554, 34.2788) Samp7 10
22.2507 9.6897 3.0642 (15.3191,
29.1823) Samp8 10 29.3899 7.5919 2.4008
(23.9590, 34.8208) Samp9 10 28.8168 11.0398
3.4911 (20.9194, 36.7142) Samp10 10
31.1217 22.3381 7.0639 (15.1420, 47.1014)
16Guiding Principles
- Focus on reading the story in the data
- Rely on software to facilitate building the
concepts - Quick, interactive analysis to seize teachable
moments - Demonstration, discovery, iteration
17Sources
- American Statistical Association (2004).
Curriculum Guidelines for Undergraduate Programs
in Statistical Science. https//www.amstat.org/edu
cation - Fisher, R.A. (1966). The Design of Experiments.
(New York Hafner) - Garfield, J., Hogg, R., Schau, C.,
Whittinghill, D. (2000). Best Practices in
Introductory Statistics, draft position paper
prepared for JSM 2000. - Hoerl, R.W. Snee, R.D. (2002). Statistical
Thinking Improving Business Performance.
(Pacific Grove, CA Duxbury) - Jakab, P.L. Young, R., eds. (2000). The
Published Writings of Wilbur and Orville Wright.
(Washington DC Smithsonian) - Kugler, C., Hagen, J. Singer, F. (2003).
Teaching Statistical Thinking. Journal of
College Science Teaching, v32, No. 7, 434-439. - McCarthy, P.J. (1957). Introduction to
Statistical Reasoning (New York, McGraw-Hill) - Moore, D.S. (1997). Statistics Concepts and
Controversies, 4th Ed. (New York W.H. Freeman) - Phillips, J. L. Jr. (1992). How to think about
statistics. (New York W.H. Freeman) - Salsburg, D. (2002). The Lady Tasting Tea. (New
York Owl Books) - Tukey, J.W. (1971). Exploratory Data Analysis.
(Reading MA Addison Wesley). - U.S. Centennial of Flight Commission (2003).
Flight log Huffman prairie, 1904.
http//www.centennialofflight.gov/chrono/log/1904H
uffmanPrairie.htm - Utts, J. M. )1999). Seeing Through Statistics,
2nd Ed. (Pacific Grove CA Duxbury) - Wallis, W. A. Roberts, H. V. (1956).
Statististics A New Approach. (New York, Free
Press.) - Wright Redux Association (2001). Wright history.
The Wright redux association. http//www.wrightred
ux.org/index.cfm?page5
18Contact Information
- Robert H. Carver
- Dept. of Business Administration
- Stonehill College
- Easton MA 02357
- e-mail rcarver_at_stonehill.edu
- Copies of slides and dataset available (after
JSM) at - http//faculty.stonehill.edu/rcarver/index.htm