Jonathan Reuning-Scherer

Jonathan Reuning-Scherer's picture
Senior Lecturer in Statistics and Forestry
Address: 
205 Prospect St, New Haven, CT 06511-2106
203-432-5118
Research Interests: 
Computational and graphics statistics, density estimation, non-parametric regression.

Courses

STAT 101a - 106a / STAT 501a - 506a Introduction to Statistics

A basic introduction to statistics, including numerical and graphical summaries of data, probability, hypothesis testing, confidence intervals, and regression. Each course focuses on applications to a particular field of study and is taught jointly by two instructors, one specializing in statistics and the other in the relevant area of application. The first seven weeks of classes are attended by all students in STAT 101-106 together, as general concepts and methods of statistics are developed. The remaining weeks are divided into field-specific sections that develop the concepts with examples and applications. Computers are used for data analysis. These courses are alternatives; they do not form a sequence and only one may be taken for credit. No prerequisites beyond high school algebra. May not be taken after STAT 100 or 109.

Students enrolled in STAT 101-106 who wish to change to STAT 109, or those enrolled in STAT 109 who wish to change to STAT 101-106, must submit a course change notice, signed by the instructor, to their residential college dean by Friday, September 27. The approval of the Committee on Honors and Academic Standing is not required.

Term: Fall
Day/Time: Tuesday, Thursday 1:00-2:15

STAT 101a / E&EB 210a / E&EB 510a Introduction to Statistics: Life Sciences

Statistical and probabilistic analysis of biological problems presented with a unified foundation in basic statistical theory. Problems are drawn from genetics, ecology, epidemiology, and bioinformatics.

Term: Bracketed
Day/Time: Tuesday, Thursday 1:00pm - 2:15pm

STAT 101a / E&EB 210a / E&EB 510a Introduction to Statistics: Life Sciences

Statistical and probabilistic analysis of biological problems presented with a unified foundation in basic statistical theory. Problems are drawn from genetics, ecology, epidemiology, and bioinformatics.

Term: Fall
Day/Time: Tuesday, Thursday 1:00pm - 2:15pm

STAT 102a / STAT 502a / EP&E 203a / PLSC 425a Introduction to Statistics: Political Science

Statistical analysis of politics and quantitative assessments of public policies. Problems presented with reference to a wide array of examples: public opinion, campaign finance, racially motivated crime, and health policy.

Term: Fall
Day/Time: Tuesday, Thursday 1:00pm - 2:15pm

STAT 103a / STAT 503a / SOCY 119a Introduction to Statistics: Social Sciences

Descriptive and inferential statistics applied to analysis of data from the social sciences. Introduction of concepts and skills for understanding and conducting quantitative research.

Term: Fall
Day/Time: Tuesday, Thursday 1:00pm - 2:15pm