
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, and mode (practice) | Khan Academy
Calculate the mean, median, or mode of a data set!
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, median, mode, range (practice) | Khan Academy
Mean, median, mode, rangeWelcome to Khan Academy! So we can give you the right tools, let us know if you're a...
Center, spread, and shape of distributions | Lesson
Center describes a typical value of in a data set. The SAT covers three measures of center: mean, median, and occasionally mode. Spread describes the variation of the data. Two …
Summarizing quantitative data | Statistics and probability - Khan …
This unit covers common measures of center like mean and median. We'll also learn to measure spread or variability with standard deviation and interquartile range, and use these ideas to …
Range and mid-range (video) | Khan Academy
The range is the difference between the largest and smallest data points in a set of numerical data. The midrange is the average of the largest and smallest data points.
Choosing the "best" measure of center - Khan Academy
Mean and median both try to measure the "central tendency" in a data set. The goal of each is to get an idea of a "typical" value in the data set. The mean is commonly used, but sometimes …
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.