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
Review of basic concepts
1/21 Descriptive Statistics- Tables and Graphs
1/23 Descriptive Statistics - Central Tendency, Variability
Mean, Mode, Median
Range, Variance, Standard Deviation
1/28-30 Probability and Theoretical Distribution
1/28 NO CLASS
2/4-6 Logic of Inferential Statistics
Hypothesis Testing - Significance Tests
2/6 NO CLASS
2/11-13 Review - Catch-up/ Exam #1
Pearson r - Restriction of Range
Other Types of Correlation
3/4-6Simple Linear Regression
Regression Toward the Mean
Standard Error of Estimate
Testing Hypotheses about Two Means
3/18-20 SPRING BREAK
3/25-27 One-Way Analysis of Variance (ANOVA)
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)
4/22-24 Factorial Designs
Goodness Test of Independence
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:
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.