
Mean, median, and mode (practice) | Khan Academy
Calculate the mean, median, or mode of a data set!
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.
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!
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 …
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 …
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 …
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 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.
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 …