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  1. Interquartile range (IQR) (video) | Khan Academy

    "The IQR describes the middle 50% of values when ordered from lowest to highest. To find the interquartile range (IQR), first find the median (middle value) of the lower and upper half of the …

  2. Interquartile range review (article) | Khan Academy

    Calculate interquartile range from small data sets with even or odd numbers of data points.

  3. Interquartile range (IQR) (practice) | Khan Academy

    Interquartile range (IQR) AP.STATS: UNC‑1 (EU), UNC‑1.J (LO), UNC‑1.J.1 (EK), UNC‑1.J.2 (EK) CCSS.Math: 6.SP.B.5, 6.SP.B.5.c Google Classroom Microsoft Teams

  4. Khan Academy | Free Online Courses, Lessons & Practice

    Created by experts, Khan Academy’s library of trusted, standards-aligned practice and lessons covers math K-12 through early college, grammar, science, history, AP®, SAT®, and more.

  5. Interquartile range review (article) | خان اکیڈیمی

    Calculate interquartile range from small data sets with even or odd numbers of data points.

  6. 6th grade math - Khan Academy

    Learn sixth grade math—ratios, exponents, long division, negative numbers, geometry, statistics, and more. (aligned with Common Core standards)

  7. Math | Khan Academy

    Learn fifth grade math—arithmetic with fractions and decimals, volume, unit conversion, graphing points, and more. This course is aligned with Common Core standards.

  8. Interquartile range (IQR) (video) | خان اکیڈیمی

    The IQR describes the middle 50% of values when ordered from lowest to highest. To find the interquartile range (IQR), first find the median (middle value) of the lower and upper half of the …

  9. Identifying outliers with the 1.5xIQR rule - Khan Academy

    A commonly used rule says that a data point is an outlier if it is more than 1.5 ⋅ IQR above the third quartile or below the first quartile. Said differently, low outliers are below Q 1 1.5 ⋅ IQR …

  10. Comparing range and interquartile range (IQR) - Khan Academy

    Subtract Q1 from Q3 to obtain the IQR: IQR = Q3 - Q1. This process helps quantify the spread of the middle 50% of the data, providing valuable insights into the variability within the central …