Abstract
It is critically important for researchers to select the correct sample size to
determine the population means. By understanding the difference between small and
large sample sets, researchers can then construct intervals of confidence that assist in
determining the population means. Confidence intervals are the margins of the error
present within the dataset and are included to show the confidence of the researcher in
the integrity of their dataset. Common confidence intervals are 90%, 95%, and 99%.
The Z confidence level is calculated to show where the mean is likely to fall, and the T
confidence level is used only when the sample size is smaller than 30 samples.
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