With sample sizes exceeding 30, we can reasonably expect to see whether the data are normally (symmetrically) or abnormally (asymmetrically) distributed
the number of members in a sample In all cases, larger samples make for more accurate conclusions In the case of statistical generalizations, as the sample size increases, the error margin decreases, or the confidence level increases, or both
This is the size that the designer cuts his or her garments in There are different sizes for each type of modeling - such as junior, petite, plus and fashion
The number of patients studied in a trial, including the treatment and control groups, where applicable In general, a larger sample size decreases the probability of making a false-positive error (a) and increases the power of a trial, i e , decreases the probability of making a false-negative error (b) Large sample sizes decrease the effect of random variation on the estimate of a treatment effect
This is the number of people who respond to a particular question For more accurate survey results, this number should be as close to the population size as possible Unfortunately, issues such as time and logistics usually reduce this number
(Statistics) The number of individual observations The sample size, i e , number of observations about a particular event or phenomenon, has important implications on how representative the sample is of the Population ADVANCE \x 540