Y502 | 5021 | Carin L. Neitzel

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 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. Reading 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 Chapter 1 Review of basic concepts Descriptive Statistics– Tables and Graphs Chapter 3 Frequency Distribution Normal Distribution Percentiles Descriptive Statistics – Central Tendency, Variability Chapter 4 Mean, Mode, Median Range, Variance, Standard Deviation Standards Scores June 25 Probability and Theoretical Distribution Chapter 5 Probabilities Normal Distribution - review Z Scores Logic of Inferential Statistics Chapter 8 Sampling Sampling Distributions z-Tests Hypothesis Testing – Significance Tests June 30 Correlation Chapter 6 Scattergraphs Pearson r – Restriction of Range Significant Correlation Other Types of Correlation July 2 Review / Catch-up July 7 Exam #1 July 9 Regression Chapter 7 July 14 Simple Linear Regression Regression Toward the Mean Standard Error of Estimate Multiple Regression July 16 t-Test Chapter 9 Testing Hypotheses about Two Means Independent-Samples t-Test Dependent-Samples t-Test July 21 One-Way Analysis of Variance (ANOVA) Chapter 10 July 23 The F-distribution Relationship between t-test and F test Comparisons Among Means Chapter 11 Planned and Post Hoc Comparisons July 28 Two-Way Analysis of Variance (ANOVA) Chapter 12 July 30 Factorial Designs Main Effects Interactions August 4 Chi-Square Chapter 13 Goodness-of-Fit Test Goodness Test of Independence August 6 Course Wrap-Up and Review August 13 Exam #2 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). 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: SPSS Co. Web Resources http://www.amstat.org/ - American Statistical Association http://research.ed.asu.edu/ - Arizona State U Statistics Research Resources 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. http://www.statisticalengineering.com/central_limit_theorem.htm