Psychology 210 Syllabus

Course Description:  Introduces psychology and behavioral science majors to descriptive and inferential statistical methods.  Knowledge of these methods is essential to the understanding, interpretation, and performance of scientific research.  Topics covered include probability theory, hypothesis testing, correlation, analysis of variance, the graphical representation of data, basic research design, and the use of computer software to perform
statistical analyses.

Textbook Information:  Behavioral Sciences STATS (2nd Edition) by G. Heiman

Student Learning Objectives: 

At the conclusion of this course, the student should be able to:

1. Distinguish between different types of data;
2. Distinguish and interpret data presented graphically;
3. Calculate basic descriptive statistics including measures of central tendency and variation;
4. Distinguish between sample and population distributions;
5. Determine the assumptions and use of the Central Limit Theorem;
6. Determine and interpret significance levels and p-values;
7. Identify the basic concepts of hypothesis testing including Type I and Type II errors;
8. Formulate hypothesis tests involving one and two population means, proportions, and standard deviations;
9. Formulate hypothesis tests for linear regression, goodness-of-fit, independence, and one-way ANOVA;
10. Use appropriate statistical techniques to analyze/interpret applications from disciplines in the behavioral sciences; and
11. Produce and interpret technology-based statistical analyses.

Course Syllabus:  Syllabus (#38677), Fall 2017.pdf