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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
EPPS 6313 (Overall) | |||||
A- | |||||
EPPS 6313 William Grover | |||||
A | |||||
Not teaching in Spring 2026 | |||||
EPPS 6313 Timothy Bray | |||||
A | |||||
EPPS 6313 Eugenia Gorina | |||||
A | |||||
EPPS 6313 Evgenia Gorina | |||||
A- | |||||
EPPS 6313 Jonathan Maskaly | |||||
A | |||||
EPPS 6313 Agustin Palao Mendizabal | |||||
A- | |||||
EPPS 6313 Muhammad Rahman | |||||
A- | |||||
EPPS 6313 Pengfei Zhang | |||||
B+ | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
EPPS 6313 (Overall) | |||||
A- | |||||
EPPS 6313 William Grover | |||||
A | |||||
Not teaching in Spring 2026 | |||||
EPPS 6313 Timothy Bray | |||||
A | |||||
EPPS 6313 Eugenia Gorina | |||||
A | |||||
EPPS 6313 Evgenia Gorina | |||||
A- | |||||
EPPS 6313 Jonathan Maskaly | |||||
A | |||||
EPPS 6313 Agustin Palao Mendizabal | |||||
A- | |||||
EPPS 6313 Muhammad Rahman | |||||
A- | |||||
EPPS 6313 Pengfei Zhang | |||||
B+ | |||||
Introduction to Quantitative Methods
EPPS 6313
School of Economic, Political and Policy Sciences
This introductory graduate-level statistics course is geared to the consumption of statistical methods commonly used in social science research. Topics include creating and interpreting graphical and tabular summaries of data, descriptive statistics, basic probability theory, sampling distributions, basic hypothesis testing (t-tests, chi-square tests, and analysis of variance), estimation of population parameters, confidence intervals and correlation. An introduction to regression analysis will also be provided. Topics are supported by computer-supported data analyses. 3 credit hours.
Offering Frequency: Each semester
Grades: 612
Median GPA: A-
Mean GPA: 3.579
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Introduction to Quantitative Methods
EPPS 6313
School of Economic, Political and Policy Sciences
This introductory graduate-level statistics course is geared to the consumption of statistical methods commonly used in social science research. Topics include creating and interpreting graphical and tabular summaries of data, descriptive statistics, basic probability theory, sampling distributions, basic hypothesis testing (t-tests, chi-square tests, and analysis of variance), estimation of population parameters, confidence intervals and correlation. An introduction to regression analysis will also be provided. Topics are supported by computer-supported data analyses. 3 credit hours.
Offering Frequency: Each semester
Grades: 612
Median GPA: A-
Mean GPA: 3.579
Click a checkbox to add something to compare.