Extreme test data is data that is on the boundary.
eg if you were asked to enter an age between 1 - 100
extreme test data would be 0 and 101
It is on the boundary of normal test data
(Normal test data is within the boundary)
Hope i could help
Extreme numbers in the data as compared the the rest of the data are called OUTLIERS.
An outlier is an extreme point of data on the plot. It is significantly greater or less than the rest of the data. Example: *50% of the class got 80/100 points on the test *49% of the class got 78/100 points on the test. *However, only 1% of the class got 99/100 points on the test. The small percentage that got the 99 would be the extreme outlier.
median
To find the lower extreme, you need to identify the smallest value in a data set. To find the upper extreme, you need to identify the largest value in the data set. These values represent the lowest and highest points of the data distribution.
when there are extreme values in the data
They are called extreme values or outliers.
Outlier
The term is "data." Data is collected and analyzed to test a hypothesis and draw conclusions in scientific research and experiments.
Such a data point is called an outlier.
They are a simple measure of the spread of the data, which is not affected by extreme values.
No because an outlier is an extreme data point that can almost be ignored.
It is a value which appears not to fit in with the other data elements.