Explore: Sample Size Determination

Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample

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Since the sample error can often be estimated beforehand as a function of the sample size, various methods of sample size determination are used to

a sample is taken without knowing, in advance, how many observations will be acceptable according to some criterion. In such cases, the sample size N

expected value of the raw sample moment is equal to the k-th raw moment of the population, if that moment exists, for any sample size n. It is thus an unbiased

subgroups' sample sizes proportional to the amount of data available from the subgroups, rather than scaling sample sizes to subgroup sizes (or to their

statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that

number of interviews and costs given the desired accuracy. For a fixed sample size, the expected random error is smaller when most of the variation in the

x ¯ {\displaystyle {\bar {x}}} is the sample mean, s is the sample standard deviation and n is the sample size. The degrees of freedom used in this test

(intervals) are adjacent and are typically (but not required to be) of equal size. Histograms give a rough sense of the density of the underlying distribution