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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. 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. Khan Academy

    This Khan Academy article reviews mean, median, and mode concepts with examples to help understand their application in statistics and probability.

  5. Mean value theorem (video) | Khan Academy

    Let's see if we can give ourselves an intuitive understanding of the mean value theorem. And as we'll see, once you parse some of the mathematical lingo and notation, it's actually a quite …

  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 mean (article) | Khan Academy

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

  8. Calculating standard deviation step by step - Khan Academy

    Step 1: Find the mean. Step 2: For each data point, find the square of its distance to the mean. Step 3: Sum the values from Step 2. Step 4: Divide by the number of data points.

  9. 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 …

  10. 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.