
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.
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 …
Calculating the mean (article) | Khan Academy
Learn how to calculate the mean by walking through some basic examples & trying practice problems.
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.
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.
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.
Mean, median, and mode (practice) | Khan Academy
Calculate the mean, median, or mode of a data set!
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 as the balancing point - Khan Academy
Explore how we can think of the mean as the balancing point of a data distribution. You know how to find the mean by adding up and dividing. In this article, we'll think about the mean as the balancing point. …
Standard deviation: calculating step by step (article) | 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 …