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  2. False positives and false negatives - Wikipedia

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

    For example, when a pregnancy test indicates a woman is not pregnant, but she is, or when a person guilty of a crime is acquitted, these are false negatives. The condition "the woman is pregnant", or "the person is guilty" holds, but the test (the pregnancy test or the trial in a court of law) fails to realize this condition, and wrongly ...

  3. Chauvenet's criterion - Wikipedia

    en.wikipedia.org/wiki/Chauvenet's_criterion

    The idea behind Chauvenet's criterion finds a probability band that reasonably contains all n samples of a data set, centred on the mean of a normal distribution.By doing this, any data point from the n samples that lies outside this probability band can be considered an outlier, removed from the data set, and a new mean and standard deviation based on the remaining values and new sample size ...

  4. Rejection sampling - Wikipedia

    en.wikipedia.org/wiki/Rejection_sampling

    Rejection sampling requires knowing the target distribution (specifically, ability to evaluate target PDF at any point). Rejection sampling can lead to a lot of unwanted samples being taken if the function being sampled is highly concentrated in a certain region, for example a function that has a spike at some location.

  5. Pregnancy test - Wikipedia

    en.wikipedia.org/wiki/Pregnancy_test

    A pregnancy test is used to determine whether a female is pregnant or not. The two primary methods are testing for the female pregnancy hormone (human chorionic gonadotropin (hCG)) in blood or urine using a pregnancy test kit, and scanning with ultrasonography. [1] Testing blood for hCG results in the earliest detection of pregnancy. [2]

  6. Dixon's Q test - Wikipedia

    en.wikipedia.org/wiki/Dixon's_Q_test

    In statistics, Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers.This assumes normal distribution and per Robert Dean and Wilfrid Dixon, and others, this test should be used sparingly and never more than once in a data set.

  7. Sputum - Wikipedia

    en.wikipedia.org/wiki/Sputum

    The best sputum samples contain very little saliva, [2] as saliva contaminates the sample with oral bacteria. This is especially true for samples for laboratory testing in cytology or microbiology. Specimen adequacy is assessed by the laboratory technologists by examining a Gram stain or cytology stain of the sputum.

  8. Diagnosis of tuberculosis - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_tuberculosis

    The medical history includes obtaining the symptoms of pulmonary TB: productive, prolonged cough of three or more weeks, chest pain, and hemoptysis.Systemic symptoms include low grade remittent fever, chills, night sweats, appetite loss, weight loss, easy fatiguability, and production of sputum that starts out mucoid but changes to purulent. [1]

  9. Antibiotic sensitivity testing - Wikipedia

    en.wikipedia.org/wiki/Antibiotic_sensitivity_testing

    Sometimes multiple samples may be taken if the source of an infection is not clear. [1] These samples are transferred to the microbiology laboratory where they are added to culture media, in or on which the bacteria grow until they are present in sufficient quantities for identification and sensitivity testing to be carried out. [35] [28]