Answer:
The correct answer to the following question will be "Peak capacity" and "Bandwidth starvation".
Explanation:
Peak capacity has been used to characterize the gradient aqueous phase separation efficiency or performance. It represents the overall conceptual number of operations or components which can be isolated consistently with something like a given set of analytical circumstances and column with
⇒ Rs =1 (Figure 1 and Equation 1)
Certain traffic competing at its policies for the available or unused bandwidth will theoretically enable classes with lower value rates to starve to bandwidth.
Due to these activities, Sharon is concerned about "Bandwidth starvation" and "Peak capacity".
Answer:
This is the case of redundancy or the repeated data. It means that the same data is being repeated again and again. And its the wastage of time and memory both. The redundancy must be removed in all circumstances. However, we cannot as without it proper normalization of data is not possible.
Explanation:
The answer is self explanatory.
The answer to this is OR..I think..Hope i helped
Answer:
C. Mean
Explanation:
Mean = (∑
)/N
Median = central values when data is sorted
Mode = most repeated value
Standard deviation = 
In standard deviation, formula you may see that deviation is being calculated from the mean (central location). But here we take square of the value before adding all of them.
But if we just take 
, it would be equal to zero.
<u>EXAMPLE</u>
Take 4, 9, 5 as data
mean = (4+9+5)/3 = 18/3 = 6
sum of deviations from mean = (4-6)+(9-6)+(5-6) = (-2)+(3)+(-1) = 0
