I guess the correct answer is information processing
Infοrmatiοn prοcеssing is thе changе (prοcеssing) οf infοrmatiοn in any mannеr dеtеctablе by an οbsеrvеr. As such, it is a prοcеss that dеscribеs еvеrything that happеns (changеs) in thе univеrsе, frοm thе falling οf a rοck (a changе in pοsitiοn) tο thе printing οf a tеxt filе frοm a digital cοmputеr systеm.
The scene of a human sitting at a computer terminal, responding to stimuli flashed on the computer screen, would most likely be described as depicting an information processing experiment.
Answer:
Solution: In this case, the system can be modeled as a function with two output signals,
where
where(x(t), y(t)) is the position of the tail in they plane. This model Is Clearly not linear. If the Input torque doubles, for example, the output values will not double. In fact, the output values are constrained to lie on a circle centered at the origin, regardless of the Input. For this reason, the model is BIBO stable. The output is always bounded. Thus, while our previous model was linear and unstable, this one Is nonlinear and stable. Which model is more useful?
Answer:
The correct answer for the following question is VLAN.
Explanation:
It stands for Virtue Logical Area Network which allows you to group port on a switch logically. VLANs can be extend across (a period of time) multiple switches means you used to express on port that you're in that VLAN by changing the VLAN number.
We have the ability to improve our security with VLANs by controlling what VLAN is accessing with the other network of VLANs. So that this network is particularly helpful in office situation to create subdomain without wiring physical domain as your network.
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