Which of the following best describes Thomas Hobbes's view of human nature?
A. Humans are naturally cruel and must be controlled by an absolute
and powerful leader.
O B. Humans are naturally good and have no need for strict laws or
governments.
O C. Humans are naturally independent and desire to control their own
governments.
D.
lumans are naturally selfish and should not be forced to consider
others' needs.

the us hoped to prevent any nations from leaning towards soviet union-based communism. the containment policy was established in hopes of keeping communism from spreading to new places.

explanation:

these are the geographical features of the gupta empire.

1)it inherited the land owned by the mauryan empire.

2)one obvious difference between the two empires is that the gupta empire was smaller that the mauryan.

3)the gupta empire is located in the northern region of the subcontinent underneath the himalayan and hindu kush mountains.

the gupta empire, marked by extensive inventions and discoveries that contributed to hindu culture, in subjects such as science, technology, engineering, art, dialectic, literature, logic, mathematics, astronomy, religion, and philosophy.

this period was also known as the golden age of india

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).