Introduction to Data Analysis

David Harvey
William Otto
Professor of Chemistry
Assistant Professor of Chemistry
Department of Chemistry and Biochemistry
Environmental Studies
DePauw University
University of Maine at Machias
602 S. College Avenue
9 O'Brien Avenue
Greencastle, IN 46135
Machias, ME 04654
Email: harvey@depauw.edu
Email: william.otto@maine.edu

Link to Site

http://people.depauw.edu/harvey/DataAnalysis/DataAnalysis.home.html

Project Description
Instructor Resources
Acknowledgments
Copyright Statement

Project Description

This project provides students with a guided introduction to several topics of importance to the analysis of data; these are the:

Topics are presented through a series of modules that guide students through the material. Each topic begins with an introduction, followed by several problems, a summary statement and topics for further study. The modules are written for undergraduate students and assume no prior experience with data analysis.

At DePauw University, these modules are used in Chem 260: Thermodynamics, Equilibria and Kinetics, a course required of all students majoring in chemistry and biochemistry. Students are asked to complete individual modules shortly before the module's topic becomes relevant to their lab work.

At the University of Maine at Machias, these modules are used at the beginning of the second semester General Chemistry sequence. Students work the modules prior to experiments where there is an emphasis on quantitatively analyzing data.

Several pages make use of java applets (written by Professor Constantinos E. Efstathiou from the University of Athens); a java enabled browser is necessary to view and use these applets.

Data files used in the modules are provided to students as Excel files. A small collection of help is provided for students who are less familiar with using Excel.

Return to Top

Instructor Resources

Complete text of modules as Word or PDF file. These can be used in lieu of the web site or for customizing content.

Suggested solutions to Modules as Word or PDF file.

Excel files for data sets used in the modules

Return to Top

Acknowledgments

Analytical Sciences Digital Library

Participants at the ASDL Curriculum Development Workshop held at the University of California - Riverside, July 10-14, 2006

Dr. Constantinos E. Efstathiou, Professor of Analytical Chemistry, University of Athens

Dr. Heather Bullen and students, Northern Kentucky University

Dr. Richard Kelly and students, East Stroudsburg State University

Return to Top

Copyright Statement

Creative Commons License


This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.5 License.  

Return to Top

Excel Files

  1. Preliminary Analysis of Data
  2. Comparing Data Sets
  3. Linear Regression
  4. Outliers

Return to Top