Education | Intermediate Statistics Applied to Education
Y502 | 5021 | Carin L. 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 30 % of final grade) and
two 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)
June 23 Overview and Introduction
Review of basic concepts
Descriptive Statistics– Tables and Graphs
Descriptive Statistics – Central Tendency, Variability
Mean, Mode, Median
Range, Variance, Standard Deviation
June 25 Probability and Theoretical Distribution
Normal Distribution - review
Logic of Inferential Statistics
Hypothesis Testing – Significance Tests
June 30 Correlation
Pearson r – Restriction of Range
Other Types of Correlation
July 2 Review / Catch-up
July 7 Exam #1
July 9 Regression
July 14 Simple Linear Regression
Regression Toward the Mean
Standard Error of Estimate
July 16 t-Test
Testing Hypotheses about Two Means
July 21 One-Way Analysis of Variance (ANOVA)
July 23 The F-distribution
Relationship between t-test and F test
Comparisons Among Means
Planned and Post Hoc Comparisons
July 28 Two-Way Analysis of Variance (ANOVA)
July 30 Factorial Designs
August 4 Chi-Square
Goodness Test of Independence
August 6 Course Wrap-Up and Review
August 13 Exam #2
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). Basic
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:
http://www.amstat.org/ - American Statistical Association
http://research.ed.asu.edu/ - Arizona State U Statistics Research
http://www.isds.duke.edu/sites/software.html - Duke University
Institute of Statistics and Decision Sciences
http://lib.stat.cmu.edu/ - Carnegie Mellon University StatLib Index
http://www.stat.ufl.edu/vlib/statistics.html – University of Florida
Department of Statistics.