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Sample size has a major impact on the accuracy of statistical results because larger samples tend to better represent the overall population. When the sample size is small, results can be more affected by random variation, making them less reliable and more prone to error. As the sample size increases, the margin of error usually decreases, leading to more stable and consistent findings. However, larger samples also require more time and resources to collect and analyze. This is why students often use Online statistics class help to better understand how sample size influences data accuracy and interpretation.
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