![]() |
![]() |
![]() |
|||||||||||||||||||||||||
|
|||||||||||||||||||||||||||
|
700Applied Statistics I (3) Introduction to probability and the concepts of estimation and hypothesis testing for use in experimental, social, and professional sciences. One and two-sample analyses, nonparametric tests, contingency tables, sample surveys, simple linear regression, various statistical packages including SAS. Not to be used for M.S. or Ph.D. credit in statistics or mathematics. Course Announcement: Fall
2007 Usually Offered: Fall Semesters Purpose: To provide future scientists in these fields with a base on which to build a continually expanding array of methods for experimental design and data analysis. Students will ideally come away with: (1) an understanding of basic probability and the manner in which all formal statistical inference depends on it; (2) the ability to carry out the basic analyses listed in the description using widely available software; (3) a knowledge of the universal principles underlying all hypothesis testing and interval estimation, thereby facilitating interactions with professional statisticians. Current Textbook: Introduction to the Practice of Statistics (5th edition), by D.S. Moore and G.P. McCabe. W.H. Freeman and Co., 2006.
The above textbook and course outline should correspond to the most recent offering of the course by the Statistics Department. Please check the current course homepage or with the instructor for the course regulations, expectations, and operating procedures. Contact Faculty: Don
Edwards, Roumen Vesselinov | |||||||||||||||||||||||||||
| RETURN TO TOP |
|
SITE INFORMATION | |||||||||||||||||||||||||
|
|||||||||||||||||||||||||||