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Sep 12, 2024
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MTH 2430 - Statistical Methods for Health Care3 lecture hours 0 lab hours 3 credits Course Description This course discusses data analysis and the use of statistics in health care-related fields. Topics include collection, presentation, and measurement of qualitative, quantitative, continuous, and categorical data: feasibility, reliability, and validity of collection methods; sensitivity and specificity; predictive values, prevalence, and efficiency; comparison of sampling methods; and bias. Also discussed are methods of statistical analysis including one-parameter confidence intervals and hypothesis testing; analysis of variance, correlation, and regression. Finally, relative risk, odds ratio, and attributable risk are discussed. Microsoft Excel will be utilized throughout the course. Prereq: MTH 1030 or MTH 1050 or MTH 1080 or equivalent (quarter system prereq: MA 1204 or MA 125 or MA 120) Note: Students may receive credit for only one of MTH 2430, MTH 2450 , and MTH 2480 . This course is not available to students with credit for MTH 2410 or IND 2030 . This course meets the following Raider Core CLO Requirement: Think Critically Course Learning Outcomes Upon successful completion of this course, the student will be able to:
- Distinguish between various data types: quantitative, qualitative, continuous, and categorical
- Differentiate between population and sample data
- Represent data graphically using bar charts, pie charts, etc.
- Calculate and interpret measures of central tendency and spread
- Determine the feasibility, validity, and reliability of data collection methods
- Calculate and interpret the sensitivity and specificity of collected data
- Calculate and interpret predictive values, prevalence, and efficiency of collected data
- Compare and contrast different sampling methods including nonprobability methods
- Identify sampling error and bias
- Calculate and interpret one-parameter mean and proportion confidence intervals
- Perform and interpret one-parameter hypothesis testing of mean and proportions including P-value, type two error, power and determination of sample size
- Perform and interpret the Chi-square test
- Perform and interpret analysis of variance for two or more samples
- Calculate and interpret correlation coefficients
- Perform and interpret regression analysis
- Compare and contrast relative risk, odds ratio, and attributable risk
- Use Microsoft Excel to perform statistical analyses
Prerequisites by Topic
- Evaluation of algebraic formulas
- Familiarity with two-dimensional graphs
Course Topics
- Collection and presentation of data
- Measurement of central tendency and spread
- Evaluation of sampling methods and collected data
- Confidence intervals for one mean and one proportion
- Hypothesis testing for one mean and one proportion
- Chi-square test
- Analysis of variance (ANOVA)
- Regression and correlation
- Relative risk, odds ratio, attributable risk
Coordinator Dr. Lesya Chorna
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