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  2. Penetrometer - Wikipedia

    en.wikipedia.org/wiki/Penetrometer

    Penetrometers are used for objective evaluation of food products. Penetrometers, equipped with a plunger and a needle or cone, penetrate food samples through gravitational force for a selected period of time. The distance the test device penetrates into the sample is measured to determine the relative tenderness of the samples such as baked ...

  3. Error rate - Wikipedia

    en.wikipedia.org/wiki/Error_rate

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  4. Bayes error rate - Wikipedia

    en.wikipedia.org/wiki/Bayes_error_rate

    This statistics -related article is a stub. You can help Wikipedia by expanding it.

  5. Cone penetration test - Wikipedia

    en.wikipedia.org/wiki/Cone_penetration_test

    Symbol used in drawings Simplified version of a cone penetrometer. The cone penetration or cone penetrometer test (CPT) is a method used to determine the geotechnical engineering properties of soils and delineating soil stratigraphy. It was initially developed in the 1950s at the Dutch Laboratory for Soil Mechanics in Delft to investigate soft ...

  6. Exact test - Wikipedia

    en.wikipedia.org/wiki/Exact_test

    Exact tests that are based on discrete test statistics may be conservative, indicating that the actual rejection rate lies below the nominal significance level . As an example, this is the case for Fisher's exact test and its more powerful alternative, Boschloo's test. If the test statistic is continuous, it will reach the significance level ...

  7. Technique for human error-rate prediction - Wikipedia

    en.wikipedia.org/wiki/Technique_for_human_error...

    The Technique for human error-rate prediction (THERP) is a technique that is used in the field of Human Reliability Assessment (HRA) ...

  8. False positives and false negatives - Wikipedia

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

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  9. Per-comparison error rate - Wikipedia

    en.wikipedia.org/wiki/Per-comparison_error_rate

    This statistics -related article is a stub. You can help Wikipedia by expanding it.