R C 404 - Healthcare Research and Statistics

4 Credits

This course will provide a review of exploratory data analysis using parametric methods and graphs. Topics will focus on common statistical methods used to serve diverse populations in health care, such as comparing means, proportions, and variances, chi-square tests and ANOVA. Students will be introduced to health care research literature and expected to plan a research project using proper statistical methods.

Pre-requisite(s) R C 400 and MATH& 146 or BUSN 210
Program Admission Required Yes Admitted Program BAS - R C
Fees

Quarters Typically Offered

Designed to Serve BAS-Respiratory Care students
Active Date 2015-06-16

Grading System Decimal Grade
Class Limit 24
Contact Hours: Lecture 44 Lab 0 Worksite 0 Clinical 0 Other 0
Total Contact Hours 44
Degree Distributions:
ProfTech Course Yes
Restricted Elective Yes
Course Outline
1. Exploratory data analysis

2. Binomial distribution

3. Normal distribution

4. Inference on two population means, proportions, and variances

5. Confidence intervals, z- test, t-test

6. Regression

7. Chi-square test

8. ANOVA

9. Sample literature review

Student Learning Outcomes
Construct exploratory analyses of raw data sets.

Define and apply binomial distribution in appropriate data sets.

Define and apply normal distribution in appropriate data sets.

Calculate and interpret inference on two sample data sets.

Calculate and interpret correlation of data sets.

Calculate and interpret Chi-square test and ANOVA test appropriately.

Discuss related health care research literature and its statistical methods.