Statistical Testing in Epidemiology With complete solution–
Expert Verified | Latest Questions 2025
Type I error - False conclusion of treatment effect difference exists.
Type II error - False conclusion of no treatment effect difference.
P value - Probability of observing results by chance alone.
Statistical significance - P value < 0.05 indicates significant results.
Clinical significance - Not guaranteed by statistical significance alone.
Power - Probability of detecting true treatment effect.
Confidence interval (CI) - Range indicating where true value likely lies.
95% CI - 95% chance interval contains true effect size.
Effect size - Magnitude of difference between treatment groups.
Descriptive statistics - Summarizes data using mean, median, mode.
t-test - Compares means of two groups.
Expert Verified | Latest Questions 2025
Type I error - False conclusion of treatment effect difference exists.
Type II error - False conclusion of no treatment effect difference.
P value - Probability of observing results by chance alone.
Statistical significance - P value < 0.05 indicates significant results.
Clinical significance - Not guaranteed by statistical significance alone.
Power - Probability of detecting true treatment effect.
Confidence interval (CI) - Range indicating where true value likely lies.
95% CI - 95% chance interval contains true effect size.
Effect size - Magnitude of difference between treatment groups.
Descriptive statistics - Summarizes data using mean, median, mode.
t-test - Compares means of two groups.
