Sample Size
Sample size refers to the number of observations or data points included in a statistical sample. In data science, sample size is a critical factor in determining the accuracy and reliability of statistical analyses. A larger sample size generally leads to more accurate results, as it reduces the impact of random variation and increases the representativeness of the sample. However, increasing sample size also increases the cost and time required to collect and analyze data. Therefore, it is important to carefully consider the trade-offs between sample size, accuracy, and cost when designing a study or experiment.
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