Abnormal Data is data that cannot be stored like Normal Data but has to be converted into codes from signal first before they can be stored and viewed.
Yes, but it will cause data corruption and/or abnormal program termination. Don't do it.
Standard deviation can be calculated using non-normal data, but isn't advised. You'll get abnormal results as the data isn't properly sorted, and the standard deviation will have a large window of accuracy.
Not necessarily. If the data are not ordered by size, it could be anywhere in the data set. If the data are ordered, it could be the last. But equally, it could be the first. Also, it could be the last two, three etc, or one from each end. Essentially, an outlier is a value that is an "abnormal" distance from the "middle". The middle may be the median or the mean of the data set (usually not the mode). The "abnormal" distance is generally defined in terms of a multiple of the interquartile range (when median is used) or standard deviation (when the mean is used).
A standard distribution regards 95% of all data being within 2-standard deviations of either side. Similarly, within one standard deviation either way is 68% of all data. This creates a bell curve distribution. An abnormal distribution would be erratic and not follow such a statistical structure of representation.
Abnormal
wbc esterace 2+ Abnormal occult blood 1+ Abnormal wbc 11-30 Abnormal rbc 4-10 Abnormal
As a noun, an abnormal is a person or object which is not normal.
Both.
That figure is abnormal.
Abnormal
if it is in thousand, then it is not abnormal. if it is in lacs or in hundred, then it is abnormal.
FalseArteriomalacia is abnormal softening of an artery; arteriosclerosis is abnormal hardening of an artery.Arteriomalacia is abnormal softening of blood vessels. Arteriosclerosis is abnormal hardening.