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  2. Pointwise mutual information - Wikipedia

    en.wikipedia.org/wiki/Pointwise_mutual_information

    In statistics, probability theory and information theory, pointwise mutual information (PMI), [1] or point mutual information, is a measure of association. It compares the probability of two events occurring together to what this probability would be if the events were independent .

  3. Purchasing Managers' Index - Wikipedia

    en.wikipedia.org/wiki/Purchasing_Managers'_Index

    ISM's Purchasing Managers Index 1948–2012. Purchasing managers' indexes (PMI) are economic indicators derived from monthly surveys of private sector companies.. The three principal producers of PMIs are S&P Global (from 2022 merger with IHS Markit), which produces PMIs for over 30 countries worldwide and developed the first service sector PMIs, and the Institute for Supply Management (ISM ...

  4. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    For B = 10% one requires n = 100, for B = 5% one needs n = 400, for B = 3% the requirement approximates to n = 1000, while for B = 1% a sample size of n = 10000 is required. These numbers are quoted often in news reports of opinion polls and other sample surveys. However, the results reported may not be the exact value as numbers are preferably ...

  5. 81 Of The Most Interesting Charts That Made It Onto The ... - AOL

    www.aol.com/data-beautiful-81-charts-guides...

    The post 81 Of The Most Interesting Charts That Made It Onto The “Data Is Beautiful” Online Group (New Pics) first appeared on Bored Panda. Check out this list of infographics and see for ...

  6. Sample maximum and minimum - Wikipedia

    en.wikipedia.org/wiki/Sample_maximum_and_minimum

    The minimum and the maximum value are the first and last order statistics (often denoted X (1) and X (n) respectively, for a sample size of n). If the sample has outliers, they necessarily include the sample maximum or sample minimum, or both, depending on whether they are extremely high or low. However, the sample maximum and minimum need not ...

  7. x̅ and s chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_s_chart

    The sample size is relatively large (say, n > 10— ¯ and R charts are typically used for smaller sample sizes) The sample size is variable; Computers can be used to ease the burden of calculation; The "chart" actually consists of a pair of charts: One to monitor the process standard deviation and another to monitor the process mean, as is ...

  8. Bootstrapping (statistics) - Wikipedia

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

    The simplest bootstrap method involves taking the original data set of heights, and, using a computer, sampling from it to form a new sample (called a 'resample' or bootstrap sample) that is also of size N. The bootstrap sample is taken from the original by using sampling with replacement (e.g. we might 'resample' 5 times from [1,2,3,4,5] and ...

  9. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    The sample size is relatively small (say, n ≤ 10— ¯ and s charts are typically used for larger sample sizes) The sample size is constant; Humans must perform the calculations for the chart; As with the ¯ and s and individuals control charts, the ¯ chart is only valid if the within-sample variability is constant. [4]