Course Description
Two-group comparisons, simple and multiple regression, one and two factor ANOVA, categorical data analysis, nonparametric methods. Prerequisite: A grade of C- or better in either STA 271 or STA 290; or permission of instructor
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- identify a statistical technique appropriate to address a given situation and make valid statistical inferences regarding the problem of interest.
- understand the implications of study design on the type of statistical inference.
- understand basic diagnostic tools for identifying the violations of assumptions of statistical methods.
- carry out the statistical analysis, using computer software if necessary.
- communicate clearly and correctly the results of their analyses.
Writing-Intensive Objectives
- demonstrate the ability to write clearly, coherently and effectively about various statistical procedures.
- accurately describe the results of a statistical analysis in jargon-free language.
- adapt modes of written communication to a particular target audience through several course components (case study, research paper and written summary) that are specifically designed to improve writing skills.
- incorporate constructive feedback from the instructor throughout the course to improve the quality of written work.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Homework Assignments | 20% |
| Research Paper | 10% |
| Case Study | 10% |
| Written Summary | 5% |
| Midterm 1 | 15% |
| Midterm 2 | 15% |
| Final Exam | 25% |
Grading Scale
| Percentage | Letter Grade |
|---|---|
| 93-100 | A |
| 90-92 | A- |
| 87-89 | B+ |
| 83-86 | B |
| 80-82 | B- |
| 77-79 | C+ |
| 73-76 | C |
| 70-72 | C- |
| 67-69 | D+ |
| 63-66 | D |
| 60-62 | D- |
| 0-59 | F |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
Introduction to Statistical Methods and Data Analysis, 7th Edition (ISBN: 9780357670620), by Ott, R. L. and Longnecker, M. Cengage.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.