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སྐྱོང་དབང་ཕྱུག

CURRICULUM CHANGE PROPOSAL ACADEMIC UNIT: ___ COURSE NUMBER: ___ PAGE 2

6. REQUIRED COURSE: ___Yes ___No

7. CREDITS: (a) Number 3

  • 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

___ Intermediate

X Intermediate/Advanced

___ Advanced