Credit hours: 3
Prerequisites: Stat 1450 or permission from instructor
|Statistics for the Behavioral Sciences||Gravetter & Walnau||Wadsworth||1111835764|
Example Syllabus: Syllabus for Introduction to Data Analysis in Psychology (PSY 220) --Autumn 2012.pdf
Course Objectives: This course focuses on the analysis of behavioral data. Unlike a “pure” statistics course that focuses primarily on the theory underlying statistical formulas and how that theory can be applied to data, this course explores the research process. Specifically, students will be exposed not only to topics such as experimental design, data description and several statistical tests, but also to how these topics relate to the formulation of research questions, hypotheses, data collection, and the evaluation and interpretation of data analyses. In addition, a portion of this class will focus on everyday understanding of statistics and how understanding statistics can make us better decision-makers and consumers, and help us avoid the pitfalls of poor statistical reasoning. Another equally important focus of the course will be on using the statistical software package SPSS for data input and analysis. As such, we will frequently be using SPSS to perform our data analyses in class after we have learned how to perform the same data analyses by hand.
Course Content: We will cover scales of measurement, frequency distributions, measures of central tendency and variability, z-scores, probability, t-tests, analysis of variance (ANOVA), and correlation and linear regression.
Method of Presentation: Primarily lectures.
Method of Evaluation: Several homework assignments, a few summaries and reactions to different articles regarding statistics, and four exams.