Power and Sample Size
Description
Power is the probability that a statistical test will correctly reject the null hypothesis when it is false. Sample size is the number of observations or data points required to achieve a desired level of power in hypothesis testing. Adequate sample size is crucial for reliable and valid conclusions. Certain factors, like desired power, effect size, significance level, and variability affect sample size.
Purpose
Power and sample size are critical concepts in hypothesis testing and experimental design. They are interrelated and influence the ability of a study to detect an effect or difference if one exists.
Sample size is a crucial aspect of any research study, and its importance cannot be overstated. It is a fundamental consideration in research design, influencing the quality, reliability, and generalizability of study findings. This training equips you with the knowledge and competencies to calculate and justify your chosen sample size based on the objectives of the study, the expected effect sizes, and practical constraints.
$395 (Fee covers training materials)
June 13, 15, and 19 2026 10:00 am - 12:00 pm MT
Expected Learning Outcomes
By the end of this training, you will be able to
recognize the factors that affect study power and sample size requirements; and
describe how power and sample size affect study design.
Target Learners
This training program is designed for individuals or groups of people who work in clinical settings, academia, pharmaceutical industries, Government, corporations, nonprofit organizations, and organizations that work on biological data.
Learning Approach
Programs are delivered through live online interactive sessions with seasoned instructors having vast experiences in academia. Contents are well structured and manageable with self-paced learning activities and exercises. Our approach provides learners opportunities for hands-on practice, asking questions, investigating problems, and applying their knowledge to solve complex scenarios or real-world problems. In the end, learners develop deeper understanding, critical thinking, and problem-solving skills.
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