HURRY Which list correctly places the Aryan castes in order from lowest to highest?
peasants, untouchables, merchants, priests, rulers
O untouchables, peasants, merchants, rulers, priests
O peasants, untouchables, priests, merchants, rulers
untouchables, peasants, merchants, priests, rulers
o

using the map image above, answer a, b, and c. a. briefly explain the historical context of this map image.b. briefly explain one economic or social development in the period 1607–1754 that could be used to explain what the cartographer (mapmaker) shows in the map image. c. briefly explain one social development in the period 1607–1754 that could be used to explain the distinctions shown in the map image.your responses: a.during this time period the colonies had recently been formed by the british. the colonies were grouped into three sections based on common beliefs, lively hood, and how they interacted. the new england colonies had passed the mayflower compact and they focused on trade, shipbuilding, and fishing. the middle colonies had purchased land from the native americans and dealt mostly with the export of wheat, banking, and shipping.

hope this

answer: look it up on quizlet thats where the answer was found

explanation:

sorry i cant

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).