Question 48 What is the main impact of Jefferson's use of the words self-evident in the following sentence in paragraph two?
We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator
with certain unalienable Rights, that among these are Life, Liberty, and the pursuit of Happiness.
A
to invite the reader to analyze the merits of his arguments
nds
B
to place the declaration in the context of the history of Western Civilization
Of
С
to assume the obviousness of the claims being made within the declaration
D
to acknowledge each reader's right to define truth
hat
of the
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Answer is in the photo. I couldn't attach it here, but uploaded it to a file hosting. link below! Good Luck!

cutt.ly/4zZs6GM

the effects of the french revolution had a major impact on france and europe, which influenced and transformed these countries. about.com explains that the effects of the french revolution resulted in an established democratic institution, elections, constitutions and a modern government. these effects changed laws and the hierarchy of power.

according to about.com, the long-term effects of the french revolution were profound on humanity and society. the effects of the french revolution secured political and economic gains for the lower class. the french revolution shaped politics, religion and beliefs. it developed liberalism and eliminated traditional laws. the effects included counter-reaction tactics, which defeated napoleon and produced totalitarianism ideals.

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).