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  1. Mean absolute deviation (MAD) review (article) | Khan Academy

    The mean absolute deviation (MAD) is the mean (average) distance between each data value and the mean of the data set. It can be used to quantify the spread in the data set and also be …

  2. Mean absolute deviation (MAD) (video) | Khan Academy

    To find the Mean Absolute Deviation (MAD), first calculate the mean (average) of your data set. Next, find the absolute difference (distance) between each data point and the mean.

  3. Mean absolute deviation example (video) | Khan Academy

    This lesson teaches how to calculate the mean and mean absolute deviation (MAD) using a bar graph. The graph shows the number of bubbles blown by four people. The mean is found by …

  4. Mean absolute deviation (MAD) (practice) | Khan Academy

    Manager Mark counted the number of innings each Shire Sharks pitcher pitched during the Soiltop Tournament. Calvin pitched 11 innings, Brody pitched 5 innings, Thom pitched 12 …

  5. Box plot review (article) | Khan Academy

    The mean is the average of a data set. You can't find the mean simply by looking at a box and whisker plot; you would need the entire data set to find the mean. If you have the entire data …

  6. Variance of a population (video) | Khan Academy

    You determine whether you are calculating the population variance or sample variance based on whether you have data for the entire population or just a sample of the population.

  7. Midpoint formula review | Analytic geometry (article) - Khan …

    What problems can I solve with the midpoint formula? Given two points on the plane, you can find their midpoint. For example, let's find the midpoint of (5, 3) and (1, 7) :

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

    To find the interquartile range (IQR), first find the median (middle value) of the lower and upper half of the data. These values are quartile 1 (Q1) and quartile 3 (Q3).

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

    Range and interquartile range (IQR) both measure the "spread" in a data set. Looking at spread lets us see how much data varies. Range is a quick way to get an idea of spread. It takes …

  10. Calculating the mean (article) | Khan Academy

    Calculating the mean walkthrough Let's find the mean of the data set {2, 1, 2, 4, 5, 4} together. Add up all of the data points.