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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. Calculating the mean (article) | Khan Academy

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

  4. 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 …

  5. 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 …

  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. 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 …

  8. Data and statistics | 6th grade math | Khan Academy

    Learn Statistics intro: Mean, median, & mode Mean, median, & mode example Calculating the mean

  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. 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.