How were americans affected by terrorism during the clinton administration?
a. americans believed that terrorism was on the rise during the clinton administration.
b. americans believed drastic legislation was needed to thwart the efforts of terrorists.
c. americans believed the authorities would go to great lengths to investigate incidents.
d. americans believed that clinton was weak on foreign policy, which led to terrorist attacks.

after world war ii, the united states and the soviet union were the major economic, military, and political powers. the world was bilateral multipolar bipolar unilateral

after world war ii, the united states and the soviet union were the major economic, military, and political powers. the world was bipolar.  

the great leap forward, mao zedong's plan to increase china's agricultural and industrial production, was an overwhelming success. true false

the great leap forward, mao zedong's plan to increase china's agricultural and industrial production, was an overwhelming success. true.

explanation:

b: to eliminate competition from other farmers

lancelot said to the beautiful ellen i c u r a b u t l n (i see you are a beauty lancelot was the greatest and worst of the knights who became the king's champion and undertook quests in the king's name. he became the adulterous lover of queen guinevere, and they had a son named galahad.

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).