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  2. What if chart - Wikipedia

    en.wikipedia.org/wiki/What_if_chart

    A what if chart (Whif chart, WHIF analysis, etc.) is a visual tool for modeling the outcome of a combination of different factors.The table can represent actual results or predicted outcome based on combinations of parameters.

  3. What-if analysis - Wikipedia

    en.wikipedia.org/?title=What-if_analysis&redirect=no

    Download QR code; Print/export Download as PDF; Printable version; In other projects Appearance. move to sidebar hide. From Wikipedia, the free encyclopedia.

  4. Structured what-if technique - Wikipedia

    en.wikipedia.org/wiki/Structured_what-if_technique

    The structured what-if technique (SWIFT) is a prospective hazards analysis method that uses structured brainstorming with guidewords and prompts to identify risks, [1] with the aim of being quicker than more intensive methods like failure mode and effects analysis (FMEA). [2] [3] It is used in various settings, including healthcare. [1] [2] [3] [4]

  5. Monte Carlo method - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_method

    Monte Carlo methods are widely used in various fields of science, engineering, and mathematics, such as physics, chemistry, biology, statistics, artificial intelligence, finance, and cryptography. They have also been applied to social sciences, such as sociology, psychology, and political science.

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1] Data is collected and analyzed to answer questions, test hypotheses, or disprove theories. [11]

  7. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." [3]

  8. Empirical process - Wikipedia

    en.wikipedia.org/wiki/Empirical_process

    In probability theory, an empirical process is a stochastic process that characterizes the deviation of the empirical distribution function from its expectation. In mean field theory, limit theorems (as the number of objects becomes large) are considered and generalise the central limit theorem for empirical measures.

  9. EpiData - Wikipedia

    en.wikipedia.org/wiki/EpiData

    EpiData Analysis – performs basic statistical analysis, graphs, and comprehensive data management, such as recoding data, label values and variables, and basic statistics. This application can create control charts , such as pareto charts or p-charts , and many other methods to visualize and describe statistical data.