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  2. Cleaning validation - Wikipedia

    en.wikipedia.org/wiki/Cleaning_validation

    Cleaning validation is the methodology used to assure that a cleaning process removes chemical and microbial residues of the active, inactive or detergent ingredients of the product manufactured in a piece of equipment, the cleaning aids utilized in the cleaning process and the microbial attributes.

  3. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]

  4. Validation master plan - Wikipedia

    en.wikipedia.org/wiki/Validation_master_plan

    The GAMP 5 standard recommends an approach to the creation of the plan. [3]Topics commonly covered include: Introduction, scope, responsibilities, description of facility and design, building and plant Layout, cleanrooms and associated controlled environments, storage areas, personnel, personnel and material Flow, water and solid waste handling, infrastructure and utilities, water system ...

  5. Check sheet - Wikipedia

    en.wikipedia.org/wiki/Check_sheet

    A check sheet is a form (document) used to collect data in real time at the location where the data is generated. The data it captures can be quantitative or qualitative. When the information is quantitative, the check sheet is sometimes called a tally sheet. [1] The check sheet is one of the so-called Seven Basic Tools of Quality Control. [2]

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Validation and verification (medical devices) - Wikipedia

    en.wikipedia.org/wiki/Validation_and...

    To establish a reference range, the Clinical and Laboratory Standards Institute (CLSI) recommends testing at least 120 patient samples. In contrast, for the verification of a reference range, it is recommended to use a total of 40 samples, 20 from healthy men and 20 from healthy women, and the results should be compared to the published reference range.

  8. Sampling (statistics) - Wikipedia

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

    A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population.

  9. Isaac Newton - Wikipedia

    en.wikipedia.org/wiki/Isaac_Newton

    Sir Isaac Newton (/ ˈ nj uː t ən /; 4 January [O.S. 25 December] 1643 – 31 March [O.S. 20 March] 1727) [a] was an English polymath active as a mathematician, physicist, astronomer, alchemist, theologian, and author. [5] Newton was a key figure in the Scientific Revolution and the Enlightenment that followed. [6]

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    data cleaning vs validationvalidation master plan pdf