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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    These n h must conform to the rule that n 1 + n 2 + ... + n H = n (i.e., that the total sample size is given by the sum of the sub-sample sizes). Selecting these n h optimally can be done in various ways, using (for example) Neyman's optimal allocation.

  3. Descriptive statistics - Wikipedia

    en.wikipedia.org/wiki/Descriptive_statistics

    For example, in papers reporting on human subjects, typically a table is included giving the overall sample size, sample sizes in important subgroups (e.g., for each treatment or exposure group), and demographic or clinical characteristics such as the average age, the proportion of subjects of each sex, the proportion of subjects with related ...

  4. p-chart - Wikipedia

    en.wikipedia.org/wiki/P-chart

    [2]: 277 If the organization elects to only inspect a fraction of units produced, the sample size should be chosen large enough so that the chance of finding at least one nonconforming unit in a sample is high—otherwise the false alarm rate is too high. One technique is to fix sample size so that there is a 50% chance of detecting a process ...

  5. Stratified sampling - Wikipedia

    en.wikipedia.org/wiki/Stratified_sampling

    Proportionate allocation uses a sampling fraction in each of the strata that are proportional to that of the total population. For instance, if the population consists of n total individuals, m of which are male and f female (and where m + f = n), then the relative size of the two samples (x 1 = m/n males, x 2 = f/n females) should reflect this proportion.

  6. Oversampling and undersampling in data analysis - Wikipedia

    en.wikipedia.org/wiki/Oversampling_and_under...

    As an example, consider a dataset of birds for classification. The feature space for the minority class for which we want to oversample could be beak length, wingspan, and weight (all continuous). To then oversample, take a sample from the dataset, and consider its k nearest neighbors (in feature space).

  7. Grand mean - Wikipedia

    en.wikipedia.org/wiki/Grand_mean

    Suppose one wishes to determine which states in America have the tallest men. To do so, one measures the height of a suitably sized sample of men in each state. Next, one calculates the means of height for each state, and then the grand mean (the mean of the state means) as well as the corresponding standard deviation of the state means. Now ...

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  9. Newman–Keuls method - Wikipedia

    en.wikipedia.org/wiki/Newman–Keuls_method

    The Newman–Keuls method employs a stepwise approach when comparing sample means. [15] Prior to any mean comparison, all sample means are rank-ordered in ascending or descending order, thereby producing an ordered range (p) of sample means. [1] [15] A comparison is then made between the largest and smallest sample means within the largest ...