Answer:
Abstraction
Explanation:
In computer science, abstraction has a similar definition. It is a simplified version of something technical, such as a function or an object in a program. The goal of "abstracting" data is to reduce complexity by removing unnecessary information. At some level, we all think of computers in abstract terms.
Three inputs have 8 possible states.
Here they are:
0 0 0
0 0 1
0 1 0
0 1 1
1 0 0
1 0 1
1 1 0
1 1 1
Answer:
The correct Answer is 0.0571
Explanation:
53% of U.S. households have a PCs.
So, P(Having personal computer) = p = 0.53
Sample size(n) = 250
np(1-p) = 250 * 0.53 * (1 - 0.53) = 62.275 > 10
So, we can just estimate binomial distribution to normal distribution
Mean of proportion(p) = 0.53
Standard error of proportion(SE) =
=
= 0.0316
For x = 120, sample proportion(p) =
=
= 0.48
So, likelihood that fewer than 120 have a PC
= P(x < 120)
= P( p^ < 0.48 )
= P(z <
) (z=
)
= P(z < -1.58)
= 0.0571 ( From normal table )
Answer:
The symbols may or may not have meaning, but the machine does not need to know how the symbols are interpreted in order to manipulate the symbols in the right way.
Explanation:
The computer can change the symbols in the case when the computer understand but in actual following the cut-paste rules without having any understanding this is because the symbols might be have meaning or not but if we talk about the machine so actually they dont know how the symbols are interpreted and how it can be used so that it can be change in the accurate way