Statistics
Not all courses are available to SSP students. For example, some courses are offered only for graduate credit. Note especially any listed prerequisites.
Related Courses
- ECON S-110 Quantitative Methods in Economics and Business
- PSYC S-1900 Introduction to Statistics for the Behavioral Sciences
- STAT S-100 Introduction to Quantitative Methods
- STAT S-102 Introduction to Biostatistics
STAT S-100
Introduction to Quantitative Methods (32188)
(Syllabus) (Print version)
S.R.S. Rao Poduri
(4 credits: UN, GR, NC) M,W 6-8:30 pm, Science Center, Hall A. Eight-week session. Optional sections M or W 5-6 pm. Tuition $2,275.
Statistical principles, applications, and analysis are introduced. Topics include descriptive statistics, probability, sampling procedures, estimation methods, confidence intervals, tests of significance, chisquare tests, regression and correlation, and analysis of variance. Computer programming knowledge is not required. Excel and Minitab may be used by the students. Prerequisite: Secondary school mathematics.
STAT S-102
Introduction to Biostatistics (32012)
(Print version)
Ken Y. Chung
(4 credits: UN, GR, NC) M,W 9:30 am-noon, Harvard Hall, Room 102. Eight-week session. Optional sections to be arranged. Tuition $2,275.
This course is an introduction to fundamental concepts of statistics. Topics include descriptive statistics, probability theory, basic concepts of statistical inference, sampling theory, regression and correlation methods, and analysis of variance. Applications to biological and medical research are discussed, but no knowledge of biology is required.