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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    To determine an appropriate sample size n for estimating proportions, the equation below can be solved, where W represents the desired width of the confidence interval. The resulting sample size formula, is often applied with a conservative estimate of p (e.g., 0.5): = /

  3. Cohen's h - Wikipedia

    en.wikipedia.org/wiki/Cohen's_h

    It can be used in calculating the sample size for a future study. When measuring differences between proportions, Cohen's h can be used in conjunction with hypothesis testing . A " statistically significant " difference between two proportions is understood to mean that, given the data, it is likely that there is a difference in the population ...

  4. Probability-proportional-to-size sampling - Wikipedia

    en.wikipedia.org/wiki/Probability-proportional...

    The pps sampling results in a fixed sample size n (as opposed to Poisson sampling which is similar but results in a random sample size with expectancy of n). When selecting items with replacement the selection procedure is to just draw one item at a time (like getting n draws from a multinomial distribution with N elements, each with their own ...

  5. Standard error - Wikipedia

    en.wikipedia.org/wiki/Standard_error

    1.4 Independent and identically distributed random variables with random sample size. ... the proportion of samples ... exact formulas for any sample size, and can be ...

  6. Binomial proportion confidence interval - Wikipedia

    en.wikipedia.org/wiki/Binomial_proportion...

    The weighted sample proportion is: ... The analytic formula for a binomial sample standard deviation is ... receiving greater weight as the sample size increases.

  7. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    A way to improve on the Poisson bootstrap, termed "sequential bootstrap", is by taking the first samples so that the proportion of unique values is ≈0.632 of the original sample size n. This provides a distribution with main empirical characteristics being within a distance of O ( n 3 / 4 ) {\displaystyle O(n^{3/4})} . [ 36 ]

  8. Population proportion - Wikipedia

    en.wikipedia.org/wiki/Population_Proportion

    To derive the formula for the one-sample proportion in the Z-interval, a sampling distribution of sample proportions needs to be taken into consideration. The mean of the sampling distribution of sample proportions is usually denoted as μ p ^ = P {\displaystyle \mu _{\hat {p}}=P} and its standard deviation is denoted as: [ 2 ]

  9. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    The effective sample size, ... second stage using SRS with a fixed proportion (e.g. sample half of the cluster, the whole cluster, etc.). ... simplified formula for ...