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  2. Oversampling and undersampling in data analysis - Wikipedia

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

    It is known women are under-represented considerably in a random sample of software engineers, which would be important when adjusting for other variables such as years employed and current level of seniority. Suppose only 20% of software engineers are women, i.e., males are 4 times as frequent as females.

  3. Bootstrapping (statistics) - Wikipedia

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

    the jackknife procedure, used to estimate biases of sample statistics and to estimate variances, and; cross-validation, in which the parameters (e.g., regression weights, factor loadings) that are estimated in one subsample are applied to another subsample.

  4. List of Olympic records in weightlifting - Wikipedia

    en.wikipedia.org/wiki/List_of_Olympic_records_in...

    The weight classes for men on the Olympic program were adjusted for the 2000 Games, so Olympic records only exist based on the results during and after that. [1] Women's weightlifting made its Olympic debut at the 2000 Games in Sydney, [ 2 ] with seven weight classes that have not changed since.

  5. Forest plot - Wikipedia

    en.wikipedia.org/wiki/Forest_plot

    The same applies for the meta-analysed measure of effect: if the points of the diamond overlap the line of no effect the overall meta-analysed result cannot be said to differ from no effect at the given level of confidence. Forest plots date back to at least the 1970s. One plot is shown in a 1985 book about meta-analysis.

  6. The most common jobs for US men and women without ... - AOL

    www.aol.com/news/most-common-jobs-us-men...

    There was little overlap in the most common jobs for young men and women without a college degree, but the two groups did share two roles: first-line supervisors of sales workers and retail ...

  7. Inverse probability weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_probability_weighting

    Inverse probability weighting is a statistical technique for estimating quantities related to a population other than the one from which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application. [1]

  8. Building financial independence for women through financial ...

    www.aol.com/finance/building-financial...

    Here’s why financial literacy is important for women and how they can attain it. ... Key financial literacy statistics. Around 1 in 4 working women (26 percent) were not contributing to their ...

  9. Weighting - Wikipedia

    en.wikipedia.org/wiki/Weighting

    A commonly used weighting is the A-weighting curve, which results in units of dBA sound pressure level. Because the frequency response of human hearing varies with loudness, the A-weighting curve is correct only at a level of 40- phon and other curves known as B- , C- and D-weighting are also used, the latter being particularly intended for the ...