PE 647 - The Design of Experiments

• Calculate standard deviation, range, coefficient of variation, percentiles, and the assessment of normality within data sets
• Identify measurement scales (ratio, interval, ordinal, nominal) and their significance in statistical designs
• Identify and distinguish between independent and dependent variables within research studies
• Explain the concepts, calculations, and use associated with measures of sensitivity, specificity, positive and negative predictive values as they relate to diagnostic screening tests
• Formulate statistically testable hypotheses in both mathematical and English terms
• Explain the potential causes of Type I and Type II error and the interdependent influences of alpha, sample size, and effect size on statistical power
• Appropriately use the three variations of the t-test and how to test for compliance with their underlying assumptions
• Appropriately use fixed and repeated-measures ANOVA within research designs and test for their underlying assumptions
• Explain the structure, value, and interpretation of the ANOVA source table.
• Explain when and why multiple comparison tests are needed when performing an ANOVA
• Explain the advantages and disadvantages associated with repeated-measures designs
• Explain the concepts and use of correlation, single, multiple, polynomial, and logistic regression models - including knowing how to assess the fit and quality of these models
• Explain the value and use of basic nonparametric statistical tests
• Statistically, graphically, and completely evaluate and interpret raw experimental data sets
• Critically evaluate and properly assess the statistical designs and their underlying assumptions used within research studies

• None 

• Research concepts, descriptive statistics, hypothesis testing, diagnostic tests (2 class periods)
• Use and interpretation of the single-sample, paired, and unpaired t-test (1 class period)
• Use and interpretation of the fixed-effect and repeated-measures ANOVA; journal article critique (2 class periods)
• Correlation and regression analysis (3 class periods)
• Nonparametric statistical tests (chi-square, Mann-Whitney U, Kruskal-Wallis) (1 class period)