Education | Intermediate Statistics Applied to Education
Y502 | 5722 | Carin Neitzel

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 projects and homework.

Prerequisite: Y520 or equivalent. Students also are 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 two exams (each 20 % of final grade) and
three written projects (each 20% 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
assignments have to be completed and turned in on time.  If work is
not turned in or is systematically late, 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 may be assigned as judged appropriate

Tentative Course Outline and Class Schedule (subject to change)

1/14-16	Overview and Introduction					
Chapter 1
Review of basic concepts

1/21 Descriptive Statistics- Tables and Graphs			
Chapter 3
Frequency Distribution
Normal Distribution

1/23 Descriptive Statistics - Central Tendency, Variability	
Chapter 4
Mean, Mode, Median
Range, Variance, Standard Deviation
Standards Scores

1/28-30	Probability and Theoretical Distribution			
Chapter 5
Normal Distribution
Z Scores

1/28  NO CLASS

2/4-6 Logic of Inferential Statistics				
Chapter 8
Sampling Distributions	
Hypothesis Testing - Significance Tests


2/11-13	Review - Catch-up/ Exam #1

2/18-20	Correlation							
Chapter 6
Pearson r - Restriction of Range				
Significant Correlation
Other Types of Correlation

2/25-27	Regression							
Chapter 7
3/4-6Simple Linear Regression					
Regression Toward the Mean
Standard Error of Estimate
Multiple Regression

3/11-13	t-Test								
Chapter 9
Testing Hypotheses about Two Means
Independent-Samples t-Test
Dependent-Samples t-Test


3/25-27	One-Way Analysis of Variance (ANOVA)			
Chapter 10

4/1-3 The F-distribution
Relationship between t-test and F test

4/8-10 Comparisons Among Means 				
Chapter 11 Planned and Post Hoc Comparisons

4/15-17	Two-Way Analysis of Variance (ANOVA)			
Chapter 12
4/22-24	Factorial Designs
Main Effects

4/29-5/1 Chi-Square							
Chapter 13
Goodness-of-Fit Test					
Goodness Test of Independence

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.

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.