Is the anewer for science because if it is it is a molecule that passes through semipermeable membrane
Answer: do you have notes? or a biology book to help you with? usually the teacher lets you have a biology book to help you with it.
Explanation:
Answer:
The contrast in coloration was pivotal to determine if predators attack snakes based on their colors.
It was for studying MIMICRY in snakes.
Assuming all the.snakes were the same the number of attacks will not indicate anything about the effect of the colored rings.
This question on the need for provision of a controlled experiment during experimental investigation. Thus in order to test the effect of a particular condition,another contrasting condition must be provided to determine if the condition under investigation is the actual results obtaned or the influence of other factors in the environment or in the experiment.
The change in the color of the ring is the VARIABLE .In the artificial snake the variable is the presence of this coloed rings against its absence in this snake.
since it changes in the artificial snake
Explanation:
Answer:
Your answer is A) Mutations.
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.