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

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

  2. 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.

  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 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 …

  5. 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!

  6. 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.

  7. Calculating the mean (article) | Khan Academy

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

  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. Sum up …

  9. 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.

  10. Mean and standard deviation of a discrete random variable

    Practice calculating and interpreting the mean and standard deviation of a discrete random variable.