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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power .

  3. Pattern grading - Wikipedia

    en.wikipedia.org/wiki/Pattern_grading

    Typically, the first pattern is developed in one size and is then graded up or down according to the chosen system, ensuring an optimum fit in all sizes. [ 2 ] Grading is a necessary step that must be taken before outsourcing sewing, because sewists will require sets of specific patterns for cutting and sewing.

  4. Versace - Wikipedia

    en.wikipedia.org/wiki/Versace

    In 2008, Versace collaborated with AgustaWestland to create the AgustaWestland AW109 Grand Versace VIP luxury helicopter, including a Versace leather interior and Versace-designed exterior. [48] [49] In 2009 Versace and H&M released a new line for H&M's stores, including men's and women's clothing and home items, such as pillows and blankets. [50]

  5. Textile sample - Wikipedia

    en.wikipedia.org/wiki/Textile_sample

    A textile sample is a piece of cloth or fabric designed to represent a larger whole. A small sample, usually taken from existing fabric, is called a swatch , whilst a larger sample, made as a trial to test print production methods, is called a strike off .

  6. Design effect - Wikipedia

    en.wikipedia.org/wiki/Design_effect

    Where is the sample size, = / is the fraction of the sample from the population, () is the (squared) finite population correction (FPC), is the unbiassed sample variance, and (¯) is some estimator of the variance of the mean under the sampling design. The issue with the above formula is that it is extremely rare to be able to directly estimate ...

  7. 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.