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Waiver Process
- View your Program of Work to see what courses are required for your degree
- Course descriptions can be found in the UT Catalog, and syllabi in the UT Syllabi Search system
- Complete the
Auibutton title Course Waiver Form type primary url https://wikis.utexas.edu/display/edp/EDP+Forms?preview=/152309682/202118360/EDP%20COURSE%20WAIVER%20FORM.pdf - Follow the submission instructions on the form. Note: instructors can be found in the UT Course Schedules and syllabi search system. If you are not sure who to contact for instructor signature, contact the EDP Graduate Coordinator.
- Students will be notified in writing by the Graduate Coordinator of waiver decision.
- Approved waivers will be filed by the Graduate Coordinator in your Program of Work folder in UT Box.
Note: it is recommended you keep a copy of all approved waiver forms in case you need them in the future (particularly for students planning on obtaining licensure, e.g. as a licensed psychologist.
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If you want a course to fulfill an out-of-specialization requirement for an en-route master’s degree, that course cannot be older than 6 years, and cannot have been used to fulfill degree requirements at your previous university. The Graduate School currently has a separate waiver process for courses older than 6 years.
EDP 380C Fundamental Statistics
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- Student must have a minimum of 1 advanced graduate-level statistics course completed with a B or higher within the last 6 years. The only undergraduate undergraduate course that may be counted is EDP 371 Introduction to Statistics, competed completed within the last 6 years with a B or higher.
- The course must have covered all of the following topics at minimum:
- Scales of measurement
- Statistical notation
- Frequency distribution of scores
- Measures of Central Tendency
- Measures of Variability
- Z scores
- Sampling distributions of sample means
- One-sample hypothesis testing
- The t-statistic
- Confidence intervals
- Two-sample hypothesis testing
- Related samples t test
- Analysis of Variance
- Correlation
- Simple Linear Regression
- Chi-square test of goodness of fit
- Chi-square test of independence