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When planning a statistical study, it is important to find a balance between a large enough sample size to detect meaningful effects and the efficient use of resources. Sample size calculation using power analysis is a key tool for achieving this balance.Power analysis allows you to determine how many observations are needed to detect an effect of interest with a given probability while controlling the significance level. It shows how quantities such as effect size, alpha level, statistical powe
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When planning a statistical study, it is important to find a balance between a large enough sample size to detect meaningful effects and the efficient use of resources. Sample size calculation using power analysis is a key tool for achieving this balance.Power analysis allows you to determine how many observations are needed to detect an effect of interest with a given probability while controlling the significance level. It shows how quantities such as effect size, alpha level, statistical powe
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