MODULE 12 PRECISION AND POWER 🙏

Here’s a high-yield, exam-oriented, copy-paste ready YouTube video description on Calculating Sample Size and Power: 📐 Calculating Sample Size & Power | Research Methodology Made Easy In this video, we explain how to calculate sample size and statistical power, two critical components of research planning, epidemiology, and biostatistics. 🔹 What is Sample Size? Sample size is the number of participants required to reliably answer a research question. 🔹 Why is Sample Size Important? • Ensures study validity • Prevents false-negative results • Saves time, cost, and resources 🔹 Factors Affecting Sample Size • Expected effect size • Level of significance (α error) • Power of the study (1 − β) • Variability (standard deviation) • Study design and outcome type 🔹 What is Power of a Study? Power is the ability of a study to detect a true difference when it actually exists. 👉 Commonly acceptable power = 80–90% 🔹 Errors in Hypothesis Testing • Type I error (α) • Type II error (β) 🔹 Sample Size Calculation • For proportions • For means • For case–control and cohort studies • Conceptual overview of formulas 🔹 Practical Applications • Thesis planning • ICMR research projects • Clinical trials • PG entrance & exams 📌 A must-know topic for MBBS, MD/MS, Public Health, and Clinical Research. 👍 Like | Share | Subscribe for more videos on Research Methodology & Epidemiology #SampleSize #PowerOfStudy #ResearchMethodology #Biostatistics #Epidemiology #ClinicalResearch #MBBS #ThesisWriting If you want, I can also: �⁠Create a formula-based quick revision slide �⁠Make a 60-second YouTube Shorts version �⁠Add numerical examples �⁠Prepare MCQs for exams Just tell me 👍 @MrBeast @MrBeast2 @MrBeastGaming @MrMaxLife