
 Undergradate Courses 
  Estimation theory, sufficient statistics, confidence intervals; hypothesis testing, including power function, error types, NeymanPearson Lemma, likelihood ratio tests, and hypothesis tests for means and variances; nonparametric tests, including goodnessoffit tests, sign test, signedrank test; linear regression and correlation; multiple linear regression; analysis of variance. 
  This course is an introduction to the use of statistics in nursing research, and their application to clinical and personal decision making. 
  Introduction to statistics, including measures of central tendency and dispersion, probability, statistical inference and hypothesis testing, regression and correlation, and analysis of variance. 
 www.iusb.edu /~acadaff/bulletin/bulletin2000/courses2.html (18586 words) 
