Below are the <span> two reasons why the data might not support the hypothesis:
</span><span>
1) The hypothesis was wrong
2) The data is wrong
A hypothesis is a proposed thought that may clarify a perception or marvels. It is confirmed by testing it. In the event that the information bolsters the theory, at that point, we view the speculation as checked and genuine. Assuming, be that as it may, the information does not bolster the speculation or discredits it, at that point the theory is in a bad position, and we need to concoct an alternate speculation to clarify the perceptions.
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The use of current employees as brand ambassadors can be the way that one would use to attract participants to the Techtonic Academy, and apprenticeship programs.
<h3>What is meant by recruiting sources?</h3>
This is the term that is used to refer to the way that a business would be able to get other workers to be on board in that particular firm. One of the ways that this is done is through the use of the people that currently work in the given establishment.
Hence the The use of current employees as brand ambassadors can be the way that one would use to attract participants to the Techtonic Academy, and apprenticeship programs.
Read more on recruitment here: brainly.com/question/1446509
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Answer:
B) the sale of goods to a customer.
Explanation:
When goods are sold to a customer, the cost of goods sold account is debited by the same value that the finished goods inventory is credited.
For example, suppose a company sells $1,000 worth of goods to a customer, and the sales price is $1,200. The customer pays by cash the full value of the goods. The journal entry would be:
Account Debit Credit
Cash $1,200
Sales Revenue $1,200
Cost of Goods Sold $1,000
Finished Goods Inventory $1,000
Okay no problem it cost 10 dollars tho
The fact that companies can now organize and analyze vast amounts of data on individuals to determine individual behavior profiles is due mostly to
advances in data analysis.
<span>Data analysis, also called the analysis of data, is a
procedure of assessing, purging, changing, and demonstrating information with
the objective of finding valuable data, recommending conclusions, and
supporting decision making. Data analytics is also another name for the
process.</span>
