|
Statistics for Health Professions
HMG 3530 / 4 q.h.
June 25 - July 21
Boston TuTh 5:45 PM - 8:45 PM
This course is designed as an introductory course in probability and statistics for students in health sciences. It includes descriptive and inferential statistics, discussion of the origin of various data, for example a 'random sample' from some population. Understanding of probability is an essential part of this course, including the concept of the probability of an event, axioms of probability, concepts of random variables and their expectation, probability distributions, theoretical results of probability such as the central limit theorem and its use to approximate deviations of the sample mean. In the statistics part, we show how to use data to estimate parameters of interest and test a statistical hypothesis. We introduce regression, analysis of variance and goodness of fit tests, which can be used to test whether a proposed model is consistent with data. Some nonparametric hypothesis tests will also be described. |
|
 |
|
|
