If you have machines doing jobs, fewer staff is needed, therefore the costs are LESS.
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Explanation:
the answer is call out safe or picture
The exercise is about filling in the gaps and is related to the History of the ARPANET.
<h3>
What is the History of the ARPANET?</h3>
From the text:
In 1972, earlier designers built the <u>ARPANET </u>connecting major universities. They broke communication into smaller chunks, or <u>packets </u>and sent them on a first-come, first-serve basis. The limit to the number of bytes of data that can be moved is called line capacity, or <u>bandwidth</u>.
When a network is met its capacity the user experiences <u>unwanted pauses</u>. When the network is "slowing down", what is happening is users are waiting for their packet to leave the <u>queue</u>.
To make the queues smaller, developers created <u>mixed </u>packets to move <u>simultaneously</u>.
Learn more about the ARPANET at:
brainly.com/question/16433876
Answer:
please give me brainlist and follow
Explanation:
Genetic variations that alter gene activity or protein function can introduce different traits in an organism. If a trait is advantageous and helps the individual survive and reproduce, the genetic variation is more likely to be passed to the next generation (a process known as natural selection).
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct answer is:
Conner has located a research source that is sponsored by a pharmaceutical company. Based on the sponsorship, Conner must be careful that the information is not <u>Biased.</u>
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When you evaluate and use information from multiple sources, you need to evaluate the information that it must be error-free and not biased and it should be accurate information as you needed.
As in this example, Conner needs to research that the information should not be biased because the information or research source is sponsored by a pharmaceutical company and there is chances of biasedness. So, Conner must be careful that information is not biased.