Data Analysis
Data analysis allows you to know whether your experiments support your
hypothesis. However, you have to know what is involved in data analysis
before you can decide the best method to use.
The APS
and the Association of Chairs of
Departments of Physiology recommend that trainees understand the
importance of and work to develop the following data analysis skills:
|
a. |
Knowledge of and ability to select
appropriate statistical approaches |
|
b. |
Ability to determine accuracy of
computed results |
(from the APS/ACDP
List of Professional Skills for Physiologists and Trainees)
Here are
a variety of web sites with information that you
might find useful.*
Statistical Approaches
Chapter 6: Analysing the Data
Part III: Common Statistical Tests
School of Psychology, University of New England
Course on
Commonly Used Statistical Tests
Supercourse, University of Pittsburgh
Elementary Concepts in Statistics
Statsoft, Inc.
Guidelines for Scientific Writing and Statistics
Dept. of Biology, Colby College
Quantitative Research Methods
Electronic Resources for Research Methods, InformationR.net
Resources
Statistics.com
Seven Resources for Young Scientists
Desmond Wong,
ScienceCareers.org, AAAS
Back to Index
Computed Results
Chapter 3. Experimental Errors and Error Analysis
from Mathematica. Experimental Data Analyst
Wolfram Research, Inc.
Experimental Errors
and Data Analysis
J.C. de Paula, Haverford College
Laboratory 0: Error Analysis
from Virtual Labs, Real Data
Cornell University
Pitfalls
of Data Analysis
Clay Helberg, University of Wisconsin Schools of Nursing and Medicine
Back to Index
*APS does not endorse or assume responsibility for the information posted
on these web sites.
Back to Developing Your Skills
|
