Description:
Techniques of data analysis and statistical inference used in educational and psychological research. Multiple regression, analysis of variance, and basic principles of experimental design in educational applications.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Recommended Background:
College algebra. Students from the College of Agriculture and Natural Resources and College of Human Ecology should be enrolled in programs with a focus on education.
Restrictions:
Open only to graduate students in the College of Education, College of Agriculture and Natural Resources, and College of Human Ecology.
Description:
Advanced techniques of data analysis and statistical inference used in educational and psychological research. Multiple regression, analysis of variance, and basic principles of experimental design in educational applications.
Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Recommended Background:
College algebra.
Restrictions:
Open to graduate students in the College of Education and open to doctoral students in the Mathematics Education major or approval of department.
Description:
Advanced techniques of data analysis and statistical inference used in educational and psychological research. Multiple regression, analysis of variance, and basic principles of experimental design in educational applications.
Semester:
Spring of every year, Summer of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Recommended Background:
College algebra.
Restrictions:
Open to graduate students in the College of Education and open to doctoral students in the Mathematics Education Major or approval of department.
Description:
Advanced techniques of data analysis and statistical inference used in educational and psychological research. Multiple regression, analysis of variance, and basic principles of experimental design in educational applications.