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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.
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 ...
The simplest case of a normal distribution is known as the standard normal distribution or unit normal distribution. This is a special case when μ = 0 {\textstyle \mu =0} and σ 2 = 1 {\textstyle \sigma ^{2}=1} , and it is described by this probability density function (or density): φ ( z ) = e − z 2 2 2 π . {\displaystyle \varphi (z ...
Blood is normally sterile. [1] The presence of bacteria in the blood is termed bacteremia, and the presence of fungi is called fungemia. [2] Minor damage to the skin [3] or mucous membranes, which can occur in situations like toothbrushing or defecation, [4] [5] can introduce bacteria into the bloodstream, but this bacteremia is normally transient and is rarely detected in cultures because the ...
English: Normal values for Forced Vital Capacity (FVC), Forced Expiratory Volume in 1 Second (FEV1) and Forced Expiratory Flow 25–75% (FEF25–75%). Y-axis is expressed in Litres for FVC and FEV1, and in Litres/second for FEF25–75%. See main article: Wikipedia:Spirometry
In statistics, a standard normal table, also called the unit normal table or Z table, [1] is a mathematical table for the values of Φ, the cumulative distribution function of the normal distribution.
Sensitivity and specificity values alone may be highly misleading. The 'worst-case' sensitivity or specificity must be calculated in order to avoid reliance on experiments with few results. For example, a particular test may easily show 100% sensitivity if tested against the gold standard four times, but a single additional test against the ...
[1] [2] The percentage, denoted (95% and 99% are typical values), is a coverage probability, called confidence level, degree of confidence or confidence coefficient; it represents the long-run proportion of CIs (at the given confidence level) that contain the true value of the parameter. For example, out of all intervals computed at the 95% ...