Many states and the federal government have passed sexually violent predator civil commitment laws. The basis of these laws is to protect vulnerable citizens, or exercise the <u>parens patriae</u> power, and to restrain violent individuals, or exercise the state's <u>police</u> power.
Answer: Option B
<u>Explanation:</u>
For making the laws which are related to the sexual violent predator, the government of many states or the federal government should make the police power being exercised properly.
The power of the Paren patriae who are the monarchs or the authority of the states who are considered to be the legal protectors of the citizens of the states should also be exercised properly to make the laws functions properly which are related with sexual acts and violence.
Answer:
C
Explanation:
this level of government is the only level of American government that has the right to coin money.
Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.
