Erin Curran portrait

Erin Curran

Associate Professor and Chair
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 403
Phone
(651) 962-5397
Toll Free
(800) 328-6819 x5397
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. 

Fall 2017 Courses

Fall 2017 Courses
Course - Section Title Days Time Location
STAT 220 - 12 Statistics I - T - R - - - 0955 - 1135 OSS 328
CRN: 40852 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 220 - 13 Statistics I - T - R - - - 1330 - 1510 OSS 328
CRN: 40853 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)

J-Term 2018 Courses

J-Term 2018 Courses
Course - Section Title Days Time Location
STAT 201 - 01 Introductory Statistics II See Details * *
CRN: 10071 2 Credit Hours Instructor: Erin M. Curran This will be a hybrid section of STAT 201. A majority of course topics will be addressed through online and independent learning activities assigned by the instructor. Two exams will be taken face-to-face on campus. Mandatory face to face class sessions are scheduled for January 2nd, 4th, 11th, 18th and 25th. While this class format will offer students a great deal of flexibility in learning the assigned coursework, strong self-directed learning and time management skills will be essential for success.

Schedule Details

Location Time Day(s)
OSS 3331030-1230- T - R - - -
-- - - - - - -
OSS 3331030-123011 Jan '18
OSS 3331030-123018 Jan '18
OSS 3331030-123025 Jan '18

Spring 2018 Courses

Spring 2018 Courses
Course - Section Title Days Time Location
STAT 220 - 15 Statistics I M - W - - - - 1335 - 1510 OSS 328
CRN: 22837 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 - - - - 1525 - 1700 OSS 428
CRN: 20957 4 Credit Hours Instructor: Erin M. Curran This course provides students with the knowledge and skills 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. Prerequisites: STAT 200.

Schedule Details

Location Time Day(s)