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

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

  3. 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 …

  4. 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.

  5. Mean value theorem (video) | Khan Academy

    The Mean Value Theorem states that if a function f is continuous on the closed interval [a,b] and differentiable on the open interval (a,b), then there exists a point c in the interval (a,b) such …

  6. 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!

  7. 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.

  8. 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.

  9. Calculating the mean (article) | Khan Academy

    Learn how to calculate the mean by walking through some basic examples & trying practice problems.

  10. Standard error of the mean - Khan Academy

    Take a sample from a population, calculate the mean of that sample, put everything back, and do it over and over. How much do those sample means tend to vary from the "average" sample …