Answer:
For example, if the seeds that the bird needs to eat is bigger, over time it will adapt to get a bigger beak to eat the bigger seed. The birds that have adapted reproduce and soon more and more birds that have a bigger beak for the bigger seed are more common. If the type of food available changes than the bird will most likely adapt to eat that food.
The answer is that the criteria of classification change with the improved understanding of organisms around us. During the time of Aristotle, not much was known about the living organisms. So, he classified them as he observed. Plants were classified into herbs, shrubs and trees; very much like what’s taught to a second grade student. Animals as Enaima and Anaima based on the presence or absence of RBCs. After him, Carolus Linnaeus tried his hand over classification. He came up with the 2 kingdom classification: Plants and Animals. He considered only a set of morphological and physiological criteria to decide the kingdom to which an organism belongs. It includes presence of cell wall, mode of nutrition, contractile vacuole, locomotion and others. Based on these criteria, he included widely differing organisms into a single kingdom, for example, fungi, bacteria, algae, and higher plants were included into plant kingdom just because they have cell wall as a common aspect. Then came, Ernst Haeckel, who came with a third kingdom of Protista to include unicellular organisms. Copeland gave a 4 kingdom classification segregating unicellular organisms into 2 separate kingdoms based on their nuclear structure. R.H. Whittaker came next introducing the most accepted 5 kingdom classification system. You should understand one thing that man’s knowledge of classifying organisms improved with the improving technologies available to him, which he exploited to very effective extent. Carl Woese gave the 6 kingdom classification and 3 domain system based on the 16S rRNA sequence.
Our understanding of organisms around us is improving day by day and the system of classification will also change further in pace with the improvement in technology.
I hope this helps! :D]
~ Kana ^^
Resulting factors are called Second-order factors
<h3>
What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
To Learn more about factor analysis from the given link
brainly.com/question/26561565
#SPJ4
Since you did not give a list of choices,here are some reasons why l<span>iving cells cannot use heat to provide the activation energy for biochemical reactions:
</span>
>Heat can never be used to do work.
>Heat is not readily available to all living cells.
>Heat doesn't provide the activation energy for their reactions.
<span>It is linear, because using the VSEPR theory, when you draw its lewis structure, you get two bonded pairs of electrons, which signifies a linear structure.</span>
