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  1. Mean, median, and mode review (article) | Khan Academy

    Mean, median, and mode are different measures of center in a numerical data set. They each try to summarize a dataset with a single number to represent a "typical" data point from the dataset.

  2. Statistics intro: Mean, median, & mode (video) | Khan Academy

    The mean (average) of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set. The median is the middle value when a data set is ordered …

  3. Mean, median, & mode example (video) | Khan Academy

    Here we give you a set of numbers and then ask you to find the mean, median, and mode. It's your first opportunity to practice with us!

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

    Step 1: Calculate the mean. Step 2: Calculate how far away each data point is from the mean using positive distances. These are called absolute deviations. Step 3: Add those deviations …

  5. Mean, median, and mode review (article) | Khan Academy

    Mean, median, and mode are different measures of center in a numerical data set. They each try to summarize a dataset with a single number to represent a "typical" data point from the dataset.

  6. Calculating the mean (article) | Khan Academy

    Learn how to calculate the mean by walking through some basic examples & trying practice problems. The mean is used to summarize a data set. It is a measure of the center of a data …

  7. Mean, median, and mode (practice) | Khan Academy

    Calculate the mean, median, or mode of a data set!

  8. Calculating the mean (practice) | Khan Academy

    Practice calculating the mean (average) of a data set. The mean gives us a sense of the middle, or center, of the data.

  9. Calculating the median (practice) | Khan Academy

    Practice finding the median of a data set. Like the mean, the median gives us a sense of the middle, or center, of the data.

  10. Mean as the balancing point - Khan Academy

    Explore how we can think of the mean as the balancing point of a data distribution. You know how to find the mean by adding up and dividing. In this article, we'll think about the mean as the …