How does the text explore ways in which America has changed since the abolition of slavery? How did the accomplishments of the Harlem Renaissance allow future change to take place?

1) the taiping rebellion was prompted from 1850-1864 and waged against the ruling of machu qing dynasty. the rebellion was caused by hong xiuquan and class differences, later leading to a radical change in social and economic structure.

3) karl marx, a believer of the principle of socialism, believed that the working class would have to free themselves from the exploitation of industrialists by establishing a radical socialist classless society where all industries and   property are owned by the state.

5) as indians revolt gained power, people found additional reasons to protest against the british rule. princely families joined the uprising due to changes to the inheritance law which made adopted children ineligible to assume the throne. this was an attempt by the british to control royal succession in the princely states that were nominally independent from the british.

i think it is the first one hope this

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).