Vampires are considered to be deviations in the popularised TV shows and films as some aspects are the same as vampire legends but many are different. For example vampires don't have a reflection in a mirror but in the film "Twilight" they do.
interquartile range or mean absolute deviation.
There's no valid answer to your question. The problem is a standard deviation can be close to zero, but there is no upper limit. So, I can make a statement that if my standard deviation is much smaller than my mean, this indicates a low standard deviation. This is somewhat subjective. But I can't make say that if my standard deviation is many times the mean value, that would be considered high. It depends on the problem at hand.
Yes
Pathology is any deviation from a healthy or normal condition. Alcoholism qualifies.
they eat incects
What is mean deviation and why is quartile deviation better than mean deviation?
Information is not sufficient to find mean deviation and standard deviation.
mean deviation =(4/5)quartile deviation
The relative standard deviation is the absolute value of the ration of the sample mean to the sample standard deviation. This value appears to be quite small; however, without comparative data it is difficult to know what to make of it. In some contexts it might even be considered large.
The normal morphology is the typical shape of the thing being considered. A deviation is a change away from the normal or nominal value. So a deviation from normal morphology is a change in the typical shape of something. This could mean that it is for instance flatter than normal or spikey or smooth when it normally is not. The term dysmorphic refers to something that does not demonstrate normal morphology.
Not really because a vampire is technically considered dead and when the slayer dies, another one is called.
None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0