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The outlier skews the mean towards it.
The mean is like the average, all of the numbers in a data set added up and divided buy the number of numbers in the data set.
The mean. Strictly, the arithmetic mean.
The difference between the largest and smallest numbers in your data set.
That's the mean ('average') of the numbers in the dataset,divided by the number of pieces of data.
An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).
You take all the numbers in the data and add them. Then you divide by how many numbers are in the data. :)
to find the mean of a set of numbers you have to find the total sum of the data divided by the number of addends in the data.
The mean of a number is the average of a group of numbers. To find the mean you must add up all of the numbers in a data set. Then you take that number and divide it by the number of numbers you have in the data set. This will give you the mean.
The mean is like the average, all of the numbers in a data set added up and divided buy the number of numbers in the data set.
The mean is like the average, all of the numbers in a data set added up and divided buy the number of numbers in the data set.
The outlier skews the mean towards it.
The mean of a number is the average of a group of numbers. To find the mean you must add up all of the numbers in a data set. Then you take that number and divide it by the number of numbers you have in the data set. This will give you the mean.
The mean. Strictly, the arithmetic mean.
Numerical Data means data consisting of numbers, not categories, such as the heights of students.
The difference between the largest and smallest numbers in your data set.
Any one of the numbers is equal to the mean of the set.