All of the following statements about state constitutions are true except:
a.
they were deemed more important than a national government.
b.
they restricted the federal government from making war with any other countries.
c.
they enumerated rights and listed what the government was restricted from doing.
d.
they included divided powers between the legislative, executive, and judicial branches.

i know social security wasn't one.

explanation:

hope my answer has you!

accomplishment : zachary taylor’s was a national war hero in his battle in an mexican war

explanation:

he was known as a national war hero for his battles in the mexican war, taylor was elected as the 12th president of the united states in 1849. he led the nation during its debates on slavery and southern secession. after serving only 16 months in office, taylor died from cholera morbus on july 9,

a they donate money to humanitarian causes

c   they volunteer to alleviate suffering

d   they blame all muslims for not being able to keep their fellow muslims in line.

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).