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
Answer:
Bayesian filtering
Explanation:
This is a type of filtering software that makes use of Bayesian logic to evaluate every incoming email that you receive, analyzing the header and content of the email to determinate if it is spam or not. It uses a preset of common words that are present in most spam emails, and it categorizes all received emails according to their probability to contain spam in trusted, or not trusted email. These categories are usually set by the user.
In short, Bayesian logic uses the knowledge acquired from past events to try to predict future events. Determinate the probability of success (from 0 to 100%) of a certain activity, according to the result of prior tests. It was first suggested in 1763 after the death of its creator Thomas Bayes, and it is widely spread across several different sciences such as programming, artificial intelligence, physics, etc.
Explanation:
it is false because it is not appropriate
The black strip is wifi antenna for iPod Touch.
Answer:
Explanation:
Given, total payload is: 2000 bytes
MTU is: 1500 bytes
Header is: 20 bytes
Base header is: 40 bytes
Total number of fragments = Total Payload / MTU
= 2500 / 1500
= 2 fragments
Fragment Base header Fragmentation header Authentication
header + Data
1 40 bytes 8 bytes 20 bytes +772bytes
2 40 bytes 8 bytes 792 bytes
