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  2. Sexually transmitted infections (STIs), also referred to as sexually transmitted diseases (STDs), are infections that are commonly spread by sexual activity, especially vaginal intercourse, anal sex and oral sex.

  3. Sexually transmitted infection - Wikipedia

    en.wikipedia.org/wiki/Sexually_transmitted_infection

    Testing may be for a single infection, or consist of a number of tests for a range of STIs, including tests for syphilis, trichomonas, gonorrhea, chlamydia, herpes, hepatitis, and HIV. No procedure tests for all infectious agents. STI tests may be used for a number of reasons: as a diagnostic test to determine the cause of symptoms or illness

  4. Reference range - Wikipedia

    en.wikipedia.org/wiki/Reference_range

    The standard definition of a reference range for a particular measurement is defined as the interval between which 95% of values of a reference population fall into, in such a way that 2.5% of the time a value will be less than the lower limit of this interval, and 2.5% of the time it will be larger than the upper limit of this interval, whatever the distribution of these values.

  5. Reference ranges for blood tests - Wikipedia

    en.wikipedia.org/wiki/Reference_ranges_for_blood...

    Reference ranges (reference intervals) for blood tests are sets of values used by a health professional to interpret a set of medical test results from blood samples. Reference ranges for blood tests are studied within the field of clinical chemistry (also known as "clinical biochemistry", "chemical pathology" or "pure blood chemistry"), the ...

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  7. x̅ and R chart - Wikipedia

    en.wikipedia.org/wiki/X̅_and_R_chart

    The parameters μ and σ for the random variable are the same for each unit and each unit is independent of its predecessors or successors; The inspection procedure is same for each sample and is carried out consistently from sample to sample; The control limits for this chart type are: [2]

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  9. 68–95–99.7 rule - Wikipedia

    en.wikipedia.org/wiki/68–95–99.7_rule

    Given a sample set, one can compute the studentized residuals and compare these to the expected frequency: points that fall more than 3 standard deviations from the norm are likely outliers (unless the sample size is significantly large, by which point one expects a sample this extreme), and if there are many points more than 3 standard ...