Education | Intermediate Statistics Applied to Education
Y502 | 6238 | Dr. Ginette Delandshere

Course Description

This course is designed to develop a working understanding of the
fundamental concepts used in descriptive and inferential statistics.
The purpose is to understand the use of statistics in educational
research as a tool to analyze and interpret data.  To this aim the
course activities will focus on generating and interpreting sample
statistics.  The course also includes a weekly lab which will provide
opportunities for students to practice analyzing and interpreting
data using SPSS for Windows.  The lab is designed to assist students
working on the assigned labwork and homework.

Prerequisite: Y520 or equivalent.  Students are also expected to have
a working knowledge of arithmetic and basic algebra.

Course Requirements and Assignments

Students are responsible for the assigned readings and for in-
class/lab and homework assignments. Please bring the book, handouts,
notes and a calculator to class.

In addition there will be three exams (each 25 % of final grade) and
one written project (25% of final grade) which will require analysis
and interpretation of a data set.  Assigned labwork and homework is
required—it will not be graded but will be checked for completion,
adequacy and accuracy.  To receive full credit all homework
assignments have to be completed and turned in on time.  If homework
is not turned in or is systematically late, incomplete or inadequate
your final grade will be decreased by one grade level or two (e.g., A
will turn into A- or B+) depending on the number of late and
incomplete assignments.  A course grade of “Incomplete” will not be
assigned except in the case of illness or other emergencies.
Intended or unintended cheating and/or plagiarism (see academic
handbook) will yield an F in the course.


Harris M. B. (1998).  Basic Statistics for Behavioral Science
Research.  MA: Allyn and Bacon.

Other readings are assigned as judged appropriate

Tentative Course Outline and Class Schedule (subject to change)

Overview and Introduction				
Chapter 1
Review of basic concepts

Descriptive Statistics– Tables and Graphs		
Chapter 3
Frequency Distribution
Normal Distribution

Descriptive Statistics – Central Tendency, Variability	Chapter 4
Mean, Mode, Median
Range, Variance, Standard Deviation
Standards Scores

Probability and Theoretical Distribution		
Chapter 5
Normal Distribution - review
Z Scores

Logic of Inferential Statistics				
Chapter 8
Sampling Distributions
Hypothesis Testing – Significance Tests

Review – Catch-up
Examination  #1

Chapter 6
Pearson r – Restriction of Range
Significant Correlation
Other Types of Correlation

Chapter 7

Simple Linear Regression
Regression Toward the Mean
Standard Error of Estimate
Multiple Regression

Examination #2

Chapter 9
Testing Hypotheses about Two Means
Independent-Samples t-Test
Dependent-Samples t-Test

One-Way Analysis of Variance (ANOVA)			
Chapter 10
The F-distribution
Relationship between t-test and F test

Comparisons Among Means 				
Chapter 11
Planned and Post Hoc Comparisons

Two-Way Analysis of Variance (ANOVA)			
Chapter 12

Factorial Designs
Main Effects

Chapter 13
Goodness-of-Fit Test
Goodness Test of Independence

Examination #3

Other References

Hinkle, D. E., Wiersma, W., Jurs, S. G., (1998).  Applied statistics
for the behavioral sciences.  NY: Houghton Mifflin.

Hopkins, K. D., Hopkins, B. R. and Glass, G. V. (1996). Basis
statistics for the behavioral sciences.  MA: Allyn & Bacon.

Kirk, R. E. (1999). Statistics-An introduction (4th ed.,), Orlando,
FL: Harcourt Brace & Company.

Hayes, W. A. II. & Hayes, C. A. (1999). Study guide to accompany
statistics-An introduction, Orlando, FL: Harcourt Brace & Company.

Kirk, R. E. (1999). Statistics-An introduction (4th ed.,), Orlando,
FL: Harcourt Brace & Company.

SPSS Inc. (latest). SPSS Base 10.0: Application Guide. Chicago, IL:

Web Resources  - American Statistical Association - Arizona State U Statistics Research
Resources - Duke University
Institute of Statistics and Decision Sciences - Carnegie Mellon University StatLib Index – University of Florida
Department of Statistics.