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This document discusses sample size estimation and the factors that influence determining an appropriate sample size for research studies. It provides examples of calculating sample sizes based on prevalence of a disease, mean values, standard deviations, permissible errors, and confidence levels. The key points are: - Sample size depends on prevalence/magnitude of the attribute being studied, permissible error, and power of the statistical test - Larger sample sizes are needed to detect smaller differences and have sufficient power - Examples are provided to demonstrate calculating sample sizes based on prevalence of anemia, mean blood pressure values, and acceptable margins of error













