1. Reflects if findings are meaningful 2. If a person has the disease, how often will the test be positive (true positive rate)? 3. If a person does not have the Effect size disease, how often will the test be negative (true negative rate)? 95% Confidence Interval 4. Reflects the degree of precision of (CI) the findings Specificity 5. As height increases, so does weight 6. Assumes data has a normal Positive Correlation distribution 7. The number of persons who need Parametric to be treated in order for one person to benefit Sensitivity 8. If the test result is positive, it is the probability that the person Number needed to treat actually has the disease. 9. Lower stress level improves test scores. 10. Used when data does not have a normal distribution. 11. The proportion of persons who are treated that get better