
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 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 …
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 …
Khan Academy
This Khan Academy article reviews mean, median, and mode concepts with examples to help understand their application in statistics and probability.
Calculating standard deviation step by step - Khan Academy
Step 1: Find the mean. Step 2: For each data point, find the square of its distance to the mean. Step 3: Sum the values from Step 2. Step 4: Divide by the number of data points.
Calculating the mean (article) | Khan Academy
Learn how to calculate the mean by walking through some basic examples & trying practice problems.
The Logic of "If" vs. "Only if" (article) | Khan Academy
Notice that the placement of “only” in relation to “sunny” is quite different in each statement, and the order of the elements “hat” and “sunny” are different as well. However, logically, all four of …
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.