APSY 301 Statistics and Research Design in Education Section: L01Term:Fall 2005 Lecture: EdC 179Time:MW 16:30 (75 min) Lab:EdC 260Time:MW+ TBA (60 min) Instructor: Walter ZwirnerEDT 316 office hours by appointment Tel:220 ‑ TA: tba

Introductory definition Modern statistics provides a quantitative technology for empirical science; it is a logic and methodology for the measurement of uncertainty and for an examination of the consequences of that uncertainty in the planning and interpretation of experiments and observations S.M.Stigler

Course content An introduction to statistics with particular references to the treatment of data derived from educational and social sources. Topics to be covered: 1.Descriptive statistics 2.Summation notation 3.Exploratory statistical techniques 4.Computers and statistics 5.Probability concepts 6.Binomial theorem 7.Normal distribution 8.Correlation analysis 9.Students' t ‑ distribution 10.Estimation methods 11.Hypothesis testing 12.Simple linear regression

Text and Grade Determination Recommended text: Hinkle, D.E., Wiersma, W. & Jurs, S.G. (Latest Edition) Applied Statistics for the Behavioral Sciences. Toronto: Houghton Mifflin Company. Grade determination: 1.report #1. Statistics Canada: LANDRU discussion - Oct 7th - 10% 2.report #2. descriptive/exploratory statistics – Oct. 21st - 20% 3.report #3. binomial experiment – Nov. 9 th - 20% 4.report #4. inferential statistics – Nov 25 th - 20% 5.In-class mid ‑ term examination - Nov. 30th -10% 6.Final examination ‑ registrar scheduled -20% In order to receive a passing grade, all tests have to have a passing mark.

Additional sources Supplementary reading material will be made available through World ‑ Wide ‑ Web home pages. Additionally you can peruse statistical texts of a more mathematical nature in the QA Section, 3rd Floor, Library Block and from my homepage: some class notes are in: Web based text books