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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. 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. Calculating the mean (article) | Khan Academy

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

  5. 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 …

  6. 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.

  7. 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 …

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

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

  9. Khan Academy

    Learn about mean, median, and mode with Khan Academy's comprehensive review of these fundamental concepts in statistics.

  10. Summarizing quantitative data - Khan Academy

    This unit covers common measures of center like mean and median. We'll also learn to measure spread or variability with standard deviation and interquartile range, and use these ideas to …