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grigory [225]
2 years ago
10

In three to five sentences, explain why animal cells do not require a cell wall or a central vacuole for their functions.(4 poin

ts)
Social Studies
1 answer:
olganol [36]2 years ago
3 0

Answer: the plant cell needs the cell wall because it needs protection as well as an exoskeleton. While animal cells simply do not need this to reproduce or commit homeostasis

Explanation:

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Mona Lisa is a 16th century portrait painted by Leonardo da Vinci during the Italian Renaissance. The work is owned
Nataliya [291]

Answer:

yeah of course,The point of view has completely changed.

when we compare the point of view in 16th century of her beauty of monalisa to the present day ,some would say its not.thats because of modernization and change of human lifestyle which affects point of view.specially the background of someone.today this beauty may not appear because of modernization of human.specially there are many fields people that are more attached to beauty in daytodaylives

3 0
3 years ago
A part of the house is cast in a shadow from a passing cloud, yet our brain perceives the house as all blue. which type of const
gladu [14]

It demonstrates Perceptual constancy.

<h3>What is Perceptual constancy?</h3>
  • Subjective constancy or perceptual constancy is that the perception of an object or quality as constant even though our sensation of the object changes.
  • While the physical characteristics of an object might not change, in an effort to deal with the external world, the human perceptual system has mechanisms that suits the stimulus.
<h3>What are types of perceptual constancies in visual perception:</h3>
  • Size constancy
  • Color constancy
  • Shape constancy
  • Distance constancy
  • Lightness constancy
  • Location constancy

To learn more about Perceptual constancy: brainly.com/question/8474471

#SPJ4

5 0
1 year ago
The above graph contains data from a study of overall biodiversity in a stream ecosystem and the population size of a particular
jeka57 [31]

Answer:

The conclusion is false, because it is assuming that correlation = causation.

Explanation:

An important principle in statistical analysis is the principle that when correlation exist between two variables or more, it does not mean that one of the variables are causing the other to appear in a certain manner.

Remember that correlation means that you are investigating whether a relationships exists between two variables; in this example, as we can see, it is between the biodiversity in an ecosystem and the population of an insect.

The graph can be said to illustrate the result of the research; that as the biodiversity of the ecosystem goes down, the insect's population goes up. This is a form of negative correlation.

However - we do not know what is the direction of the relationship; the student concludes that as some insects die within the ecosystem, the researched insect's population goes up; assuming that the predator species died off and thus the researched insect's population increases.

Yet, it is also possible for the relationship to go towards the other direction; the researched insect population increases - perhaps by the introduction of a new food source that causes the species' population to increase - and thus, this damages the biodiversity of the ecosystem, making the population go down since it is possible that the researched insect is instead the species which is on top of the food chain at that ecosystem.

To investigate the direction of a relationship, further research need to be done and more sophisticated statistical methods need to be used.

4 0
3 years ago
What are the messages that the cartoonists want to convey to their audience about the truth behind the election of 1876 in the K
Naddika [18.5K]

Cartoons were important in unmasking the truth and what was happening in relation to the 1876 elections. They did many things compared the African American Republican vote of the South to the Irish.

6 0
3 years ago
Which of the following was a major theme of the Harlem Renaissance?
Leona [35]
It is all of them good luck!!!!!
4 0
4 years ago
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