
Mean, median, and mode (practice) | Khan Academy
Calculate the mean, median, or mode of a data set!
Khan Academy
Learn about mean, median, and mode with Khan Academy's comprehensive review of these fundamental concepts in statistics.
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.
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 from least to …
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 helpful in …
Mean, median, and mode review (article) | Khan Academy
This Khan Academy article reviews mean, median, and mode concepts with examples to help understand their application in statistics and probability.
Calculating the mean (article) | Khan Academy
Learn how to calculate the mean by walking through some basic examples & trying practice problems.
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! Created by Sal Khan and Monterey Institute for Technology and …
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 these …
Calculating standard deviation step by step - Khan Academy
So, really standard deviation is: calculating the difference of each item to the mean, and squaring that value. Once you calculate all the values in a different list, you take the mean of that. Then, you take …