G651: Biostatistics I
Course Description and Objectives
G651 is an introductory level biostatistics course designed
for healthcare professionals. This course will cover the topics on data
presentation techniques, describing data with numerical summary measures, probability
and probability distributions, sampling distributions, statistical inferences
from small and large samples, analysis of categorical data, analysis of
variance, correlation and simple linear regression analysis.
The primary objectives of this course are to:
·
Teach data presentation techniques using graphs and summary
statistics
·
Provide a basic foundation of probability and probability
distributions
·
Teach how to formulate an appropriate hypothesis and make
relevant inferences for means and proportions.
·
Educate how to apply analysis of variance and simple regression techniques
to real life data.
Upon completion of the course, students will understand and
be able to apply basic techniques in descriptive and inferential statistics.
These will include: graphical and numerical description of data; elementary
probability calculation and distributions; point and confidence interval
estimation, as well as hypothesis testing concerning population means and proportions;
simple contingency table analyses; analysis of variance; correlation and simple
linear regression techniques. Students will be introduced to basic operations and
analytical procedures in SPSS on personal computers. They will be able to understand
and interpret the basic statistical analysis in research articles published in
research journals.
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