Explain the importance of social, political, and economic reasons that Slavery lasted so long in the US and led to the South trying to break away and form their own nation. You must discuss why the north was generally ‘ok' with slavery, why the South desperately wanted to keep it, and what the disagreement was about. You should also mention the Emancipation Proclamation and your opinion as to whether or not it ended slavery

the correct answer is a) he thought the government’s military action was a mistake.

the whiskey rebellion was a tax protest in the us that started in 1791 and ended in 1974. it has this name because the whiskey tax was the first tax that was imposed on a domestic product by the new federal government.

jefferson was against the government’s military action because he believed that the purpose of the government was to protect the unalienable rights of its citizens and that these rights include life, liberty, and the pursuit of happiness and he thought that people had the constitutional right to rebel. he has said: “the first error was to pass it (the whiskey tax); the second was to enforce it; and the third, to make it the means of splitting this union.”

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may i have the answer choices?

the answer would be c epic   an epic is a long narrative poem about a heroic figure

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).