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  2. Pivotal quantity - Wikipedia

    en.wikipedia.org/wiki/Pivotal_quantity

    Then is called a pivotal quantity (or simply a pivot). Pivotal quantities are commonly used for normalization to allow data from different data sets to be compared. It is relatively easy to construct pivots for location and scale parameters: for the former we form differences so that location cancels, for the latter ratios so that scale cancels.

  3. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    For example, in Microsoft Excel one must first select the entire data in the original table and then go to the Insert tab and select "Pivot Table" (or "Pivot Chart"). The user then has the option of either inserting the pivot table into an existing sheet or creating a new sheet to house the pivot table.

  4. Robust statistics - Wikipedia

    en.wikipedia.org/wiki/Robust_statistics

    A pivotal quantity is a function of data, whose underlying population distribution is a member of a parametric family, that is not dependent on the values of the parameters. An ancillary statistic is such a function that is also a statistic, meaning that it is computed in terms of the data alone.

  5. t-statistic - Wikipedia

    en.wikipedia.org/wiki/T-statistic

    Most frequently, t statistics are used in Student's t-tests, a form of statistical hypothesis testing, and in the computation of certain confidence intervals. The key property of the t statistic is that it is a pivotal quantity – while defined in terms of the sample mean, its sampling distribution does not depend on the population parameters, and thus it can be used regardless of what these ...

  6. Ancillary statistic - Wikipedia

    en.wikipedia.org/wiki/Ancillary_statistic

    The observed batting average X/N fails to convey all of the information available in the data because it fails to report the number N of at-bats (e.g., a batting average of 0.400, which is very high, based on only five at-bats does not inspire anywhere near as much confidence in the player's ability than a 0.400 average based on 100 at-bats).

  7. Power Pivot - Wikipedia

    en.wikipedia.org/wiki/Power_Pivot

    Prior to the release of Power Pivot, the engine for Microsoft's Business Intelligence suite was exclusively contained within SQL Server Analysis Services.In 2006, an initiative was launched by Amir Netz of the SQL Server Reporting Services team at Microsoft, codenamed Project Gemini, with the goal of making the analytical features of SSAS available within Excel.

  8. Watchdog warns credit card companies over devaluing ... - AOL

    www.aol.com/watchdog-warns-credit-card-companies...

    The Consumer Financial Protection Bureau (CFPB) on Wednesday warned that credit card companies devaluing or canceling reward points, cash back or miles rewards programs may be breaking the law.

  9. Bootstrapping (statistics) - Wikipedia

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

    This pre-aggregated data set becomes the new sample data over which to draw samples with replacement. This method is similar to the Block Bootstrap, but the motivations and definitions of the blocks are very different. Under certain assumptions, the sample distribution should approximate the full bootstrapped scenario.