Why was Valley Forge significant to the American Revolutionary War victory? A. It allowed the French to attack the British in Canada.
B. It showed American determination to survive harsh conditions and convinced the British to surrender.
C. It made the American army stronger, prouder, and better trained.
D. It led to American forces taking control of Philadelphia and New York during the winter.

you didn't post an image.

2 another reason colonist hello

3 reasons colonist gave for not supporting the revolution are

1 they were scared of the british

some colonist were scard of british because they know what the other colinest were doing was treason and could result in execution so they decided not to participate in it

2 some colonist were loyal to britian   which were called the loyalist

many families were serpeated   because of this son and father 1 wetn to fight in the war the other fought aganiust them which created alot of dispute between the family and   they were revolted that there families were fighting aganist them

3   aswell some colinist also   were promised freedom and protected for them to fight on the side of the british so they fought for the british in return for there freedom and protection

hope i !

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).

the democratic party is the answer because they disapproved of slavery