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2. National Council Licensure Examination - Wikipedia

   en.wikipedia.org/wiki/National_Council_Licensure...

   Annual number of test takers: NCLEX-RN: 358,998 (in 2023) [1] NCLEX-PN: 65,679 (in 2023) [1] Prerequisites: Candidate must be a graduate of an approved nursing school. Fluency in English assumed. Fee: $200 USD or $360 CAD: Used by: State Boards of Nursing in United States and Board of Nursing in 10 Canadian provinces: Qualification rate: NCLEX ...

3. Cochran's C test - Wikipedia

   en.wikipedia.org/wiki/Cochran's_C_test

   Cochran's test, [1] named after William G. Cochran, is a one-sided upper limit variance outlier statistical test .The C test is used to decide if a single estimate of a variance (or a standard deviation) is significantly larger than a group of variances (or standard deviations) with which the single estimate is supposed to be comparable.

4. Dixon's Q test - Wikipedia

   en.wikipedia.org/wiki/Dixon's_Q_test

   McBane [1] notes: Dixon provided related tests intended to search for more than one outlier, but they are much less frequently used than the r 10 or Q version that is intended to eliminate a single outlier.

5. Interquartile range - Wikipedia

   en.wikipedia.org/wiki/Interquartile_range

   Box-and-whisker plot with four mild outliers and one extreme outlier. In this chart, outliers are defined as mild above Q3 + 1.5 IQR and extreme above Q3 + 3 IQR. The interquartile range is often used to find outliers in data. Outliers here are defined as observations that fall below Q1 − 1.5 IQR or above Q3 + 1.5 IQR.

6. 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 ...

7. Outlier - Wikipedia

   en.wikipedia.org/wiki/Outlier

   The modified Thompson Tau test is used to find one outlier at a time (largest value of δ is removed if it is an outlier). Meaning, if a data point is found to be an outlier, it is removed from the data set and the test is applied again with a new average and rejection region. This process is continued until no outliers remain in a data set.