Respuesta :
It is important because if the sample size is smaller, outliers could skew the data more than if it was large.
Sample size is important because it directly affects how precisely we can estimates.
What do you mean by the term "sample size" ?
Sample size refers to the total number of individuals involved in an experiment or study. The sample size is a term used in research for defining the number of subjects included in a sample size.
Importance of large sample size-
A larger sample size reduces the margin of error. With a large sample size, you could segment your measurements
Large samples are closer to measuring everybody than are small samples .
Sample size is important because it directly affects how precisely we can estimates.
Learn more about sample size ,here:
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