Introduction to statistical thinking for biomedical engineering problem-solving and decision-making applied to the benchtop, laboratory, and clinical testing and to the quality engineering procedures of verification and validation; topics include descriptive statistics, estimation, hypothesis testing, regression and correlation, experimental design, data visualization, and ethics of statistical practice. Prerequisites: Grade of C or better in MATH 152 and ENGR 102; Biomedical Engineering major Credits 3. 3 Lecture Hours.
Introduction to statistical thinking for biomedical engineering problem-solving and decision-making applied to the benchtop, laboratory, and clinical testing and to the quality engineering procedures of verification and validation; topics include descriptive statistics, estimation, hypothesis testing, regression and correlation, experimental design, data visualization, and ethics of statistical practice. Prerequisites: Grade of C or better in MATH 152 and ENGR 102; Biomedical Engineering major Credits 3. 3 Lecture Hours.
