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  2. Observational error - Wikipedia

    en.wikipedia.org/wiki/Observational_error

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Pages for logged out editors learn more

  3. Analytical chemistry - Wikipedia

    en.wikipedia.org/wiki/Analytical_chemistry

    Analytical chemistry studies and uses instruments and methods to separate, identify, and quantify matter. [ 1] In practice, separation, identification or quantification may constitute the entire analysis or be combined with another method. Separation isolates analytes.

  4. Titration - Wikipedia

    en.wikipedia.org/wiki/Titration

    Titration. A burette and Erlenmeyer flask (conical flask) being used for an acid–base titration. Titration (also known as titrimetry[ 1] and volumetric analysis) is a common laboratory method of quantitative chemical analysis to determine the concentration of an identified analyte (a substance to be analyzed).

  5. Laboratory quality control - Wikipedia

    en.wikipedia.org/wiki/Laboratory_quality_control

    An example of a Levey–Jennings chart with upper and lower limits of one and two times the standard deviation. A Levey–Jennings chart is a graph that quality control data is plotted on to give a visual indication whether a laboratory test is working well. The distance from the mean is measured in standard deviations.

  6. Weighing scale - Wikipedia

    en.wikipedia.org/wiki/Weighing_scale

    An industrial weighing scale is a device that measures the weight or mass of objects in various industries. It can range from small bench scales to large weighbridges, and it can have different features and capacities. Industrial weighing scales are used for quality control, inventory management, and trade purposes.

  7. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    In statistical hypothesis testing, the analogous concepts are known as type I and type II errors, where a positive result corresponds to rejecting the null hypothesis, and a negative result corresponds to not rejecting the null hypothesis. The terms are often used interchangeably, but there are differences in detail and interpretation due to ...

  8. Type I and type II errors - Wikipedia

    en.wikipedia.org/wiki/Type_I_and_type_II_errors

    Type I and type II errors. In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. For example, an innocent person may be convicted. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false.

  9. Coprecipitation - Wikipedia

    en.wikipedia.org/wiki/Coprecipitation

    Coprecipitation. In chemistry, coprecipitation ( CPT) or co-precipitation is the carrying down by a precipitate of substances normally soluble under the conditions employed. [ 1] Analogously, in medicine, coprecipitation (referred to as immunoprecipitation) is specifically "an assay designed to purify a single antigen from a complex mixture ...