Probability and Statistics
Sample size refers to the number of individual observations or data points that are collected in a study or survey. It plays a critical role in determining the reliability and validity of statistical conclusions, as a larger sample size generally leads to more accurate estimates of population parameters, reduces the margin of error, and enhances the power of statistical tests. Understanding sample size is crucial for designing effective studies and interpreting their results.
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