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  2. Quartile - Wikipedia

    en.wikipedia.org/wiki/Quartile

    Use the median to divide the ordered data set into two halves. The median becomes the second quartile. If there are an odd number of data points in the original ordered data set, do not include the median (the central value in the ordered list) in either half.

  3. Fiscal Quarters (Q1, Q2, Q3, Q4) Explained and What ... - AOL

    www.aol.com/finance/fiscal-quarters-q1-q2-q3...

    What are the fiscal quarters Q1, Q2, Q3 and Q4? Fiscal quarters are four three-month periods during which a company's financial activities and statements are calculated, processed and reported to ...

  4. Interquartile range - Wikipedia

    en.wikipedia.org/wiki/Interquartile_range

    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.

  5. Fiscal year - Wikipedia

    en.wikipedia.org/wiki/Fiscal_year

    (Q1 1 April – 30 June, Q2 1 July – 30 Sept, Q3 1 Oct – 31 Dec and Q4 1 Jan – 31 Mar) For individual taxpayers, the fiscal year is the calendar year, 1 January ...

  6. Calendar year - Wikipedia

    en.wikipedia.org/wiki/Calendar_year

    The calendar year can be divided into four quarters, [3] often abbreviated as Q1, Q2, Q3, and Q4. Since they are three months each, they are also called trimesters. In the Gregorian calendar: First quarter, Q1: January 1 – March 31 (90 days or 91 days in leap years) [4] Second quarter, Q2: April 1 – June 30 (91 days)

  7. Five-number summary - Wikipedia

    en.wikipedia.org/wiki/Five-number_summary

    The five-number summary is a set of descriptive statistics that provides information about a dataset. It consists of the five most important sample percentiles: . the sample minimum (smallest observation)

  8. Box plot - Wikipedia

    en.wikipedia.org/wiki/Box_plot

    Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.

  9. Midhinge - Wikipedia

    en.wikipedia.org/wiki/Midhinge

    In statistics, the midhinge (MH) is the average of the first and third quartiles and is thus a measure of location.Equivalently, it is the 25% trimmed mid-range or 25% midsummary; it is an L-estimator.