An outlier can make the range go up.
Example:
say you have the numbers. 2,5,4,1,7,and 18.
in order from least to greatest: 1,2,4,5,7,18
range is the greatest number - the littlest number.
so in this case it is 18-1 which equals 17
say if there was no outlier and the highest number was 7
it would be 7-1 which is 6 and it makes the outlier smaller....
Yes there can be more then one outlier
Outlier
it is called an outlier
It doenst affect the mode, as the mode is just all the numbers in order, lowest to highest.. E.g. 1,2,3,4,5,6,7,8,9,10. Hope this helps... :)
There would be a difference to the median. The old number wouldn't be the median but the mode wouldn't change. If the outlier is a high value, it will cause the mean value to shift to the higher side, while a low valued outlier will drop the mean value to a lower number.
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.
Range is the largest minus the smallest value in the data set. An outlier is a value that is far away from the majority of the data.
No. The data set will remain the data set: they are the observations that are recorded.
The range.
there is no outlier because there isn't a data set to go along with it. so theres no outlier
An outlier can significantly affect the median of a data set, although its impact is less pronounced compared to measures like the mean. The median is the middle value when data is arranged in order, so if an outlier is added or removed, it may not change the median unless it is situated among the middle values. For instance, in a data set with an odd number of values, an extreme outlier at one end will not affect the median as long as it does not enter the central position. However, in a smaller data set, the presence of an outlier can shift the median if it changes the arrangement of the middle values.
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
An outlier