Applied Statistics II
University of Galway
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits2
Recommended U.S. Quarter Units3
Hours & Credits
OverviewThis course teaches how to specify and apply basic statistical models for the analysis of data. Topics include inference in linear regression models; Conditions for linear models; Transformation of data; Multiple regression; Analyzing quantitative and categorical date; Analysis of variance; Logistic regression; Checking conditions for the logistic model; Prediction with logistic model; Overview of experimental design, randomization, blocking. The course does not focus on the mathematical theory of inference yet we shall not completely avoid mathematical derivations.
Courses and course hours of instruction are subject to change.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.
Please reference fall and spring course lists as not all courses are taught during both semesters.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.