Statistics for Evidence Based Practice in the Health Sciences

3.0 credits

This online course is an introduction to the biostatistical concepts and the skills necessary to interpret data for Evidence-Based Practice (EBP) in the Health Sciences. Topics include an introduction to EBP, variation and variables, levels of data measurement, descriptive statistics and data display, probability, statistical and clinical significance, confidence intervals, statistical power analysis, hypothesis testing, and inferential statistics. Statistical techniques introduced are correlation, chi-square, t-test, odds ratios, relative risk, linear regression and an introduction to one-way analysis of variance. Open to nonmatriculated students.