An outlier is a number in a data set that is not around all the other numbers in the data. It will always affect the average; sometimes raising the average to a number higher than it should be, or lowering the average to something not reasonable. Example: Data Set - 2,2,3,5,6,1,4,9,31 Obviously 31 is the outlier. If you were to average these numbers it would be something greater than most of the numbers in your set due to the 31.
An outlier.
An outlier
No. The data set will remain the data set: they are the observations that are recorded.
The mean is changed.
there is no outlier because there isn't a data set to go along with it. so theres no outlier
An outlier is a number in a data set that is not around all the other numbers in the data. It will always affect the average; sometimes raising the average to a number higher than it should be, or lowering the average to something not reasonable. Example: Data Set - 2,2,3,5,6,1,4,9,31 Obviously 31 is the outlier. If you were to average these numbers it would be something greater than most of the numbers in your set due to the 31.
An outlier.
If a data set has an outlier, you would normally deal with it by omitting it from the average of the other values.
Yes there can be more then one outlier
Yes, any data point outside thestandard deviation its an outlier
Range subtracts the lowest value from the value in your data set. If you have an outlier, meaning a number either obviously outside the data, your range will be incorrect because one of the values will not represent the average pattern of the data. For example: if your data values include 1,2,3,4,and 17, 17 would be the outlier. The range would be 16 which is not truly representative of the rest of the data.
An outlier
No. The data set will remain the data set: they are the observations that are recorded.
Outlier
The mean is changed.
It is important to remember that there is no formal definition of an outlier. An outlier is an observation (or a small number of observations) which is (area) out of line with the rest of the observations.