Erin M. Curran portrait

Erin M. Curran

Associate Professor
Degree
Ph.D., Research Methodologies: Quantitative Methods and Measurement, University of North Dakota
B.S., Occupational Therapy, School of Medicine and Health Sciences, University of North Dakota
Office
OSS 424
Phone
(651) 962-5397
Mail
University of St. Thomas
Mail Number OSS 402
2115 Summit Avenue
St. Paul, MN 55105

Professional Interests

Research:  Transformational Learning in Higher Education, Applied Statistics Education, Psychometric Analysis, Assessment and Evaluation in Education.
Teaching:  Applied Statistics, Psychometrics, Biometrics, Quantitative Research Methods, Assessment and Evaluation in Education. 

Spring 2015 Courses

Spring 2015 Courses
Course - Section Title Days Time Location
STAT 220 - 04 Statistics I M - W - F - - 0935 - 1040 OSS 329
CRN: 20915 4 Credit Hours Instructor: Erin M. Curran Formerly IDTH 220 or QMCS 220 Introductory applied statistics. Work environment; population, sampling frame, random sample, type of variables and studies. Descriptive statistics: collecting, displaying, summarizing, and interpreting data to extract information. Probability; relative frequency definition of probability, conditional probability, independence, discrete and continuous random variables, probability distribution and probability density, binomial, normal, standard normal, t, chi-square, and F distributions. Inferential statistics; sampling distribution of the sample mean and sample proportion, central limit theorem, confidence intervals and hypothesis tests for one and two means and one and two proportions. Basic applications: tests of independence, analysis of variance and linear regression. A statistical package must be used as tool. This course fulfills the third course in natural Science and Mathematics and Quantitative Reasoning requirement in the core curriculum. Prerequisites: Math placement at level of MATH 111 or above; or MATH 100, 101, 105, 108, 109, 111 or 113 NOTE: Students who receive credit for STAT 220 may not receive credit for IDTH 201

Schedule Details

Location Time Day(s)
STAT 310 - 01 Biostatistics M - W - F - - 1215 - 1320 OSS 428
CRN: 21336 4 Credit Hours Instructor: Erin M. Curran This course provides students with the knowledge and skils needed to effectively apply basic statistical methods in health related fields, such as Biology, Medicine, and Public Health. Students learn inferential statistical techniques involving topics in estimation, hypothesis testing, nonparametric methods, clinical trials, contingency tables, review of analysis of variance and linear regression, and a brief introduction to experimental design.

Schedule Details

Location Time Day(s)
STAT 460 - 03 Statistical Research/Practicum - - - - - - - -
CRN: 23090 Instructor: Erin M. Curran Students will work individually with the instructor to identify a statistical research topic of current interest or to identify a real practical problem, for which statistics can be used to produce a feasible solution. State and local governments, companies, businesses, TV channels, or even faculty doing research should be the natural source of real practical problems to be solved. For either the research or the practical problem, the final outcome should be a report with publication potential.

Schedule Details

Location Time Day(s)

Summer 2015 Courses

Summer 2015 Courses
Course - Section Title Days Time Location

Fall 2015 Courses

Fall 2015 Courses
Course - Section Title Days Time Location