Answer:
In information theory, entropy is a measure of uncertainty in a random variable. In this context, the term refers to Shannon's entropy, which quantifies the expected value of the information contained in a message.
Explanation:
The entropy defined by Shannon, referring to the theory of information, refers to the average amount of information contained in a random (psychological) variable or, in particular, a binary transmission source. The information that provides a certain value, xi, of a discrete random variable X, is defined as:
I (xi) = log2 (1 / p (xi))
whose unit is the bit if the logarithm is used in base 2 (for example, when the natural or natural logarithm is used, we speak of nats).
The entropy or average information of the discrete random variable, X, is determined as the average information of the set of discrete values that can be adopted (also measured in bits):
H (x) = Σip (xi) • log2 (1 / p (xi))
In addition to its definition and study, Shannon demonstrated analytically that entropy is the maximum limit to which a source can be compressed without any loss of information.
<span>The correct answer is Some plant and animals are restricted to a particular habitat. That means that they would not be able to live in other habitats either because of natural predators that would eliminate them or because they would ruin the ecological system if they were to interfere with the natural order of things. Things like climate might also affect this.</span>
Plant life, especially the trees in the Rain forest absorb the carbon dioxide and produce oxygen so without them, there would be much more carbon dioxide.
In fact we believe that the oxygen in our atmosphere has origin in plant life! Specifically ocean plants. <span />
There are numerous ways a parent can encourage their kids self development and growth to help them reach their goals. Some ways are to show them unconditional love, keep communication open with the kids and teachers, and establish boundaries.
