How did the case McCulloch v. Maryland cement the power of the federal government? A. The ruling established that the federal government could overrule the states in certain matters.
B. The ruling stated the Constitution gave the federal government the right to coin money in each state.
C. The ruling clarified the balance of federal power between the legislative, judicial, and executive branches.
D. The ruling outlined the federal government’s responsibility for legislating and controlling intrastate commerce.

the fifth and fourteenth amendments to the united states constitution each contain a due process clause. due process deals with the administration of justice and thus the due process clause acts as a safeguard from arbitrary denial of life, liberty, or property by the government outside the sanction of law.

hope this =d give me brainliest

i think the answer is: cuba wanted to be independent from spain, and the u.s. wanted to end spanish rule in the west.

hope i

-lavira : )

a hypothesis is an expected answer to a question, usually based on some theory or prior research. hypothesis testing is a method of determining the viability of a hypothesis. let’s use the us presidential election as an example. there are many hypotheses (questions) about how people feel or whom they will vote for. the only way to know the 100% “truth” about the answers to these questions is to ask every single possible voter – something that is impossible, expensive, time consuming etc. instead, we take samples and use statistics to make “best guesses” about the answer to a particular hypothesis. we never know for sure if our conclusion is right at the time we accept/reject it, but these techniques, when used appropriately can get us close to the truth most of the time (which is a lot better than guessing, flipping coins or throwing darts to get answers).

the tricky part about hypothesis testing is that we have to think somewhat backwards about it – we have to test what is known as the “null hypothesis”. as an example, the hypothesis might be “obama is more popular than romney” while the null hypothesis is “there is no difference in popularity between obama and romney”. we focus on the null hypothesis because it tells us exactly what the expected value of our tests should be (obama popularity = romney popularity) and we can collect data and see if it comes out that way (see next section on “significance”). if it does, then we “accept the null hypothesis” and reject our original hypothesis. if the null hypothesis is disproven, we look at the data to see if our original hypothesis holds (obama> romney).