Answer:
<em>Research </em>is a <em>process of generating new knowledge about a specific subject by acquiring new information, analyzing it and putting it into the framework of existing knowledge in order to make new conclusions.
</em>
Let us take as an <u>example </u>the salient issue of electronic cigarettes. Being on the market in many countries for several years now, e-cigarettes have both their supporters and opposers. Some people <u>claim</u> that e-cigarettes is a good alternative to smoking tobacco and while they can be harmful they are less harmful than tobacco. Some people share an <u>opinion</u> that e-cigarettes are dangerous and should be banned.
Only <u>research </u>can educate both of these opinions with validated scientific outcomes. That is why so many institutions are currently running extensive research on the impact of e-cigarettes on human health. Until robust scientific data is collected, which takes a lot of time with subjects that are expected to have a long-term effect on human health, ideas in favor or against will prevail the agenda on this subject. Moreover, the lack of research can result in fear mongering <u>ideas</u> about e-cigarettes, or opposite to that, fashion to use e-cigarettes among people who were not smoking tobacco before.
A tyrant would say that they are in charge, that there won't be a democracy, and would then possibly arrest or kill the people who are asking.
Answer:Positive correlation
Explanation:
What Is Positive Correlation?
Positive correlation refers to a relationship that exist between two variables in such that they tend to move towards the same direction, in such that one one variable increases the other also increases and also when the other variable decreases the other one also decreases.
Statistically a great positive correlation is shown by a coefficient value of +1.0, whereas when there is no correlation that is shown by 0 and perfect inverse is shown by -1.0 coefficient. The vital thing to take note of is that this doesn't mean causation , which means it doesn't mean that the other variable is the direct cause of changes in the other variable. Positive correlation just means the two variables tend to behave the same way percentage and direction wise. For example this can be seen when teh price of the product is changed like when the demand increases the price also rises.
When people increase their food intake their weight scores tend to increase and when they decrease their food intake their weight scores tend to decrease however we know there are so many things that can increase weight gain not food itself but these two tends to move towards the same direction and percentage.
Answer: he was crowned emperor
Explanation:
<h3>
Answer:</h3><h3>plsss correct the question very well</h3>
