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Course Overview
The purpose of this course was to introduce students to healthcare
statistics. We covered various topics to include the meaning of
statistics, types of data, types of tests to run on the data, and how to
formulate a hypothesis. The information you covered can be used in many
roles within a healthcare organization. For example, as a healthcare
manager, you will be asked to use data to make decisions regarding such
things as how many patients we treated, the number of patients
readmitted after receiving care, and the types of positions needed to
staff a unit.
As your study in this course draws to a close, it is important to
integrate the course content to ensure a comprehensive understanding of
the concepts presented in each module. It is also important to step back
and reflect on new levels of understanding, skills, and knowledge that
were developed as a result of your efforts throughout this course. It is
particularly important to reflect on the course outcomes (what you were
intended to learn in this course).
Course Outcomes
By the end of the course you were expected to achieve the following learning outcomes:
- Define the term “statistics” and determine sources and users of Health Statistics (Module 1).
- Relate the importance of the Central Limit Theorem to the study of Health Statistics. (Module 2).
- Demonstrate the ability to compute descriptive statistics in order to describe the characteristics of a data set (Module 3).
- Apply elementary probability theory to health sciences data (Module 4).
- Conduct parametric and nonparametric inferential statistical tests: t-tests, chi-square analyses (Module 5).
- Reflect upon and integrate course concepts – (Module 6).