
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 mean (article) | Khan Academy
Learn how to calculate the mean by walking through some basic examples & trying practice problems. The mean is used to summarize a data set. It is a measure of the center of a 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 …
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!
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.
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.
Terms, factors, and coefficients review (article) | Khan Academy
Say our expression is 3x + 7, as an example. Here, 3x and 7 are the two terms found here. Always remember that when there's a letter next to a number, this means an implied …
Interquartile range (IQR) (video) | Khan Academy
So the interquartile range for this first example is going to be 13 minus five. The middle of the second half minus the middle of the first half which is going to be equal to eight. Let's do some …
Mean absolute deviation example (video) | Khan Academy
The mean is found by adding all the values and dividing by the number of data points. The MAD is calculated by finding the average of the absolute differences from the mean.