What is the significance of Tiamat’s tears in the myth “Enuma Elish and Marduk’s Reign”? A. to explain the origin of rain B. to explain the origin of the Red Sea and the Persian Gulf C. to explain the origin of the Tigris and Euphrates Rivers D. to explain the origin of the Nile

i also think it is c

c)an idealized view of nature. hope this

superior technology and improved medical knowledge to foster imperialism. quinine enabled europeans

to survive tropical diseases and venture into the mosquito-infested interiors of africa and asia. the combination

of the steamboat and the telegraph enabled the western powers to increase their mobility and to quickly respond

to any situations that threatened their dominance. the rapid-fire machine gun also gave them a military advantage

and was in convincing africans and asians to accept western control. the following table summarizes the

causes of the new imperialism:

causes of new imperialism

economic military/political humanitarian/religious technological

need for markets need for military bases white man’s burden new medicine

raw materials national security spread of christianity new weapons

source of investments source of

pride—nationalism

social darwinism

(superiority of western

society)

transportation

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).