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
Erin Curran
Associate Professor and Chair
Degree
Office
OSS 403
Phone
(651) 9625397
Toll Free
(800) 3286819 x5397
Email
Mail
University of St. Thomas
Mail Number OSS 402
2115 Summit Avenue
St. Paul, MN 55105
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
Course  Section  Title  Days  Time  Location  

STAT 220  12  Statistics I   T  R     0955  1135  OSS 328  
Description of course Genetics B/ Lab: 
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, chisquare, 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


STAT 220  13  Statistics I   T  R     1330  1510  OSS 328  
Description of course Genetics B/ Lab: 
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, chisquare, 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

JTerm 2018 Courses
Course  Section  Title  Days  Time  Location  

STAT 201  01  Introductory Statistics II  See Details  *  *  
Description of course Genetics B/ Lab: 
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 facetoface 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 selfdirected learning and time management skills will be essential for success.
Schedule Details

Spring 2018 Courses
Course  Section  Title  Days  Time  Location  

STAT 220  15  Statistics I  M  W      1335  1510  OSS 328  
Description of course Genetics B/ Lab: 
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, chisquare, 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


STAT 310  01  Biostatistics  M  W      1525  1700  OSS 428  
Description of course Genetics B/ Lab: 
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
