GR 847 - Applied Statistics

An in-depth coverage of the strategies involved in data analysis, including statistical procedures and interpretation of data for research. Students will apply knowledge of descriptive, parametric, non-parametric, univariate, and selected multivariate approaches to data analysis. Emphasis will be on interpretation of statistical results and on evaluation of published research and its applicability to health care. Each student is expected to be familiar with common terminology and use of descriptive and inferential statistical techniques, including probability, chi-square, student's t analysis of variance, correlation, and non-parametric tests.

Semester hours: 3.0

Prerequisites:

  • GR 798 - Essentials of Scholarly Writing

Restrictions and Notes:

  • Prerequisite: GR 798 (Unless NS 847 is a prerequisite for your program); Basic statistics course preferred.

Last updated: 03/12/2019