EDEP 429: Introductory Statistics (3 credits)
Use of descriptive statistics in
analyzing test scores; application of linear correlation and
regression; introduction to an understanding of inferential
statistics. Pre: High School Algebra/Logic
Modified: February 21, 2006
Damned Lies and Statistics: Untangling Numbers From the Media,
Politicians, and Activists (Joel Best, University of Delaware)
An excerpt printed in the
Chronicle of Higher Education (5/4/2001)
Basic Text:
Glass, G. V., & Hopkins, K. D. (1996).
Statistical methods in psychology and education (3rd ed.).
Needham Heights, MA: Allyn & Bacon.
NOTE: Glass & Hopkins is a
standard introductory statistics text. The topics covered are dealt
with in most introductory texts dealing with descriptive and beginning
inferential statistics in the behavioral sciences. Students are
encouraged to validate their understanding of the basic concepts by
consulting other authors' treatments (in online and in printed texts
indicated below or discovered by other means, e.g., in the library or
on colleagues' shelves) of the same concepts.
Gene Glass' pages on his course at Arizona
State University can be found at: COE 502: Introduction to
Quantitative Methods.
There are links to Glass' online treatments of
some of the topics in the Reading and Study
Outline for Glass & Hopkins below (click on the
chapter title to retrieve the associated file) as well as links to
other sources on particular topics [NOTE: In COE 502,
Dr. Glass uses Hopkins, K. D., Glass, G. V., & Hopkins, B. R.
(1996). Basic statistics for the behavioral sciences (3rd
ed.). Needham Heights, MA: Allyn & Bacon. Consequently, the
chapter numbers and sections therein will not match but the material
will be similar.]. As I discover other online resources, I will link
them into these pages under Online
Resources and/or the appropriate chapter in the Reading and Study Outline for Glass &
Hopkins.
Other References:
Ferguson, G. A., & Takane,
Y. (1989). Statistical analysis in
psychology and education (6th ed.). New York: McGrawHill.
[NB: This text was required prior to the adoption of
Glass & Hopkins. You can access an outline for EDEP 429 based on
Ferguson & Takane by clicking on the title.]
Hays, W. L. (1994).
Statistics (5th ed.). Orlando, FL: Harcourt Brace.
Howell, D. C. (1995). Fundamental
statistics for the behavioral sciences (3rd ed). Pacific
Grove, CA: Duxbury Press.
Howell, D. C. (1997). Statistical
methods for psychology (4th ed.). Pacific Grove, CA: Duxbury
Press.
McClelland, G. H. (1999). Seeing Statistics
(Version 1). Pacific Grove, CA: Duxbury Press.
Moore, D. S., & McCabe, G. P.
(1998). Introduction to
the practice of statistics (3rd ed.). New York: Freeman.
Online Resources: (barely scratch the
surface of what's available on the Internet)
The student is strongly encouraged to make use of these Internet
resouces/links as a way to reinforce and to validate one's
understanding of basic statistical concepts.
Relevant Text Online
 CAST: ComputerAssisted
Statistics Teaching (W. Douglas Stirling, Massey University, New
Zealand)
 Chance: A Quantitative
Literacy Course (J. Laurie Snell and Peter Doyle of Dartmouth
College, Joan Garfield of the University of Minnesota, Tom Moore of
Grinnell College, Bill Peterson of Middlebury College, and Ngambal
Shah of Spelman College.
 Concepts and Applications of Inferential Statistics (Richard Lowry, Vassar College)
 Dougal
Swinscow's Statistics at Square One (Revised by M. J.
Campbell, University of Southampton)

Electronic Statistical Textbook (from StatSoft; requires
frames)
 Exploring Data (Rex Boggs, Education Queensland)

HyperStat Online (David M. Lane, Rice University)
 Introduction to
Descriptive Statistics (J. L. Hill, University of Illinois –
Urbana/Champaign)
 Introduction
to Probability (Charles M. Grinstead, Swarthmore College & J.
Laurie Snell, Dartmouth College)
[requires Adobe Acrobat
Reader]
 Investigating
Statistics (Robert L. Hale, Pennsylvania State University)

Introductory Statistics: Concepts, Models, and Applications
(David W. Stockburger, Southwest Missouri State University)
 Jones, Lyle V. & Tukey, John W. (2000).
A sensible reformulation of the significance test.
Psychological Methods, 5, 411414.
 The Little
Handbook of Statistics Practice (Gerard E. Dallal, Tufts
University)

SticiGui: Text (Philip B. Stark, UC Berkeley)

SurfStat.australia (Keith Dear, Australian National
University)
 Workshops
in Statistics and Research Methods (Glenn Meyer, Trinity
University) (from Wadsworth Publishing Company)
Glossaries
Guidelines
Calculators and Online Applications
 Bivariate
Scatter Plot (Department of Statistics, University of
Illinois – Urbana/Champaign)
 Globally Accesible
Statistical Procedures (GASP) (University of South Carolina)
 Guessing Correlations (Stat 100, University of Illinois at
UrbanaChampaign)

Interactive Statistical Calculation Pages (John C. Pezzullo,
Georgetown University)
 JavaSketchpad
(Simple Least Squares Regression from Key Curriculum Press)
 Least
Squares Java Applet (Michael Pilant, Texas A&M University)
 Linear
Regression Applet (Nicholas Exner, University of Illinois –
Urbana/Champaign
 Normal
Probability Calculation (from Seeing Statistics by Gary
H. McClelland, University of Colorado, Boulder)
 Online
Analysis of Data (Gene Glass, Arizona State University)
 OnLine
Calculators and Data Analysis (Statistical Services, UT
Austin)
 Physics
Stat Page (Thomas Kirkman, College of St. Benedict  St. John's
University)
 Regression
Applet (R. Webster West, University of South Carolina)
 SISA
(Simple Interactive Statistical Analysis)
 Some
Experimental
WWW Pages for Teaching Statistics (Juha Puranen, University of
Helsinki)
 Statistical
Java (S. DoraiRaj, C. AndersonCook, & T. Robinson; Virginia
Tech)

VassarStats: Web Site for Statistical Computation (Richard
Lowry, Vassar College)
 StatCrunch (R. Webster
West & R. Todd Ogden, University of South Carolina)
Downloadable Software
Data Set Libraries
Courses
Discussion Lists
General
 Journal of
Statistics Education
 Links related to Statistics Education (Juha Puranen, University of Helsinki)
 The
Probability Web (Bob Dobrow, Clarkson University)
 Statistics
Multiple Choice Questions (Dept of Mathematics & Statistics,
Simon Fraser University
 Statistical Science Web (Gordon Smyth, University of Queensland)
 STATISTICS.COM (Links
to free statistical software, tutorials, etc. Commercial
site.)
 Statistics and Social
Science Group at NYU
 StatSite:
Statistics Pamona College (A magazine devoted to statistics)

SticiGui: Statistical Tools for Internet and Classroom Instruction
with a Graphical User Interface (Philip B. Stark, UC
Berkeley)
 Web Interface for
Statistics Education (Dale Berger, Claremont Colleges)
(Tutorials, Glossaries, Links, etc.)
Below is an outline of the chapters that will be
covered in the course. In order to facilitate the processing of the
material in the text, critical sections of the relevant chapters
are indicated below. Those not listed can be skipped without loss
of continuity. Those listed with an asterisk are considered
critical to a development of an understanding of basic descriptive
and inferential statistics. You should not proceed without a
thorough understanding of the material therein. The "Mastery Test"
at the end of each chapter is an excellent way to assess your
understanding of the key concepts. Another way to assess your
understanding is to go on the Internet and read the online
treatments of the same topics.
The "Exercises" listed with each chapter are
those thought to be especially relevant to and facilitative of an
understanding of the concepts through computation and
consideration. Documentation of your work with the listed exercises
may be submitted for extra credit to supplement your exam scores.
How much the excercises will count will not be determined until the
end of the semester. The value of a given exercise will be
determined such that a complete set of "extra credit exercises"
will be equivalent to one letter grade. That is, each letter grade
is regarded as an interval. Given your placement in an interval
(from your exam scores) a complete set of extra credit exercises
will move you into the same placement in the next higher interval
(grade).
The data sets which are referred to in
"Suggested Computer Activity" at the end of most chapters are
contained on the disk inside the back cover of the text. They can
also be retrieved from my pages: http://www2.hawaii.edu/~daniel/Data/429dir.html. The
student is strongly encouraged to work with these data sets as a
way to reinforce understanding of the statistical analytic
techniques we will consider in the course.
As part of his COE 502 course, Dr. Glass has
made a series of "online calculators" available that will perform
most of the calculations relevant to EDEP 429. These are available
at http://glass.ed.asu.edu/stats/online.htm.
Chapter by Chapter Outline of Glass &
Hopkins
 Chapter One:
Introduction
 All Sections
 Chapter Two: Variables, Measurement,
Scales
 All Sections*
 Chapter Three: Frequency
Distributions and Visual Displays of Data
 3.13.2, 3.3*, 3.43.15
 Chapter Four: Measures of Central
Tendency
 4.14.3, 4.4*, 4.5*, 4.6*, 4.74.8, 4.9*, 4.10*, 4.114.15,
4.16*, 4.174.20
Exercises: 13, 67
 Chapter Five: Measures of
Variability
 5.15.3, 5.4*, 5.5*, 5.6*, 5.7*, 5.8*, 5.9*, 5.105.12, 5.13*,
5.1416
Exercises: 1d1e, 2
 Chapter Six: The Normal
Distribution and Standard Scores
 6.16.2, 6.3*, 6.4, 6.5*, 6.66.15
Exercises: 1, 35, 78, 1213
 Chapter Seven: Correlation
 7.1, 7.2*, 7.3*, 7.4*, 7.5*, 7.67.7, 7.8*, 7.97.10, 7.11*,
7.12*, 7.137.23, 7.27*, 7.287.30
Exercises: 12, 45, 6a6b, 10, 12
 Chapter Eight: Prediction and
Regression
 8.1, 8.2*, 8.3*, 8.48.5, 8.6*, 8.7*, 8.8*, 8.9*, 8.108.11,
8.12*, 8.13*, 8.14, 8.15*, 8.16*, 8.17*, 8.18*, 8.19*,
8.228.33
Exercises: 14, 7
 Chapter Nine: Probability
 9.1, 9.2*, 9.3*, 9.4, 9.5*, 9.9, 9.10*, 9.119.12, 9.13*,
9.149.17
Exercises: 9, 1112, 14
 Chapter Ten: Statistical
Inference
 10.1, 10.2*, 10.310.9, 10.10*, 10.11*, 10.1210.15, 10.16*,
10.1810.24
Exercises: 35
 Chapter Eleven: Introduction to Hypothesis
Testing
 11.1, 11.2*, 11.3*, 11.4*, 11.5*, 11.6*, 11.7, 11.8*, 11.9*,
11.10*, 11.11*, 11.12*, 11.1311.14, 11.16*, 11.17*, 11.18,
11.2011.21
Exercises: 2, 5, 10
 Chapter Twelve: Inferences About the Difference Between
Two Means
 12.1, 12.2*, 12.3*, 12.4*, 12.5*, 12.612.11, 12.12*, 12.13*,
12.14*, 12.1512.16, 12.1812.20
Exercises: 19
 Chapter Thirteen: Statistics for
Categorical Dependent Variables
 13.11, 13.12*, 13.13*, 13.15*, 13.16, 13.1813.20
Exercises: 12, 410
 Chapter Fourteen: Inferences About
Correlation Coefficients
 14.1*, 14.2*, 14.3, 14.4*, 14.514.6, 14.1214.16, 14.20,
14.2214.24
Exercises: 12, 4, 6, 8, 12
 Chapter Fifteen: OneFactor Analysis of
Variance
 15.115.2, 15.3*, 15.4*, 15.5*, 15.6*, 15.7, 15.8*, 15.915.10,
15.11*, 15.12, 15.13*, 15.14, 15.15*, 15.16, 15.17*, 15.1815.20,
15.21*, 15.2215.24, 15.2615.27, 15.3115.33
Exercises: 12, 46, 8, 10
If you have difficulty with any of the concepts presented in the
text or lectures, please consult one or more of the links above or the
syllabus for one or more of the courses (with associated links) on
my home page. If you are unable to
satisfactorily resolve any questions by consulting the appropriate
links, please make an appointment with me at your earliest
convenience.
Questions or comments to:
daniel@hawaii.edu
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