Variable credit Explanation:

Students are expected to spend 9-12 hours per week preparing for and submitting assignments for this course (some weeks may be more or less)

Will course be repeatable for credit: XYes ___No

Grading systems permitted: X A-F ___ P/F ___ Credit/No Credit

Exceptions: During the course, students will:

Identify levels of measurement and describe their relationship to statistical analysis.

Demonstrate skill in displaying data in a format that is clearly understood.

Explain the importance of distinguishing samples and populations in hypothesis testing, and describe principles of inferential statistics.

Summarize and demonstrate usual ways of using graphics to describe the central tendency and variability of samples.

Describe and demonstrate proper use of the contingency tables, x2 test, t-test, and analysis of variance (ANOVA).

Explain how correlation and regression operate.

Development of research questions and hypotheses using secondary data.

Data management, including acquiring the data and dealing with missing data and outliers.

Approaches to descriptive/exploratory analysis of data---statistical and graphical.

Selecting appropriate analysis strategies for testing hypotheses and research questions—the relationships among hypotheses/research questions, research design, levels of measurement of variables, and analysis strategies.

Interpreting and reporting the results of statistical analyses in narrative, tabular, and visual formats.

Preparing findings for poster or visual presentation.

Course Level: ___ Elementary