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Sagot :
The larger the sample, the more Precision you have when you generalize your sample findings to the population facts.
Hence, Option B is correct.
The standard error is affected by sample size: larger sample sizes result in smaller standard errors, allowing for more precise estimation of population parameters.
When you increase your sample size, you increase the precision of your estimates, which means that the larger the sample size, the more "statistically significant" the result will be for any given estimate / size of effect.
Precision denotes how close sample estimates from different samples are likely to be.
To know more about Population here
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