The map relates to the internment of Japanese Americans and Japanese immigrants during World War II. Which reason best explains the location of the exclusion zone?

i think that it would be tenth of the first

hamas is the terrorist group present in palestine.terrorism has been a feature of life in israel even before the country's establishment in 1948.as per israeli government, 3200 people have died in terrorist attacks.

in january 2007, meshal stated that hamas would consider recognizing israel once a palestinian state was established. a haaretz story noted, "this is the first time that a hamas official has raised the possibility of full and official recognition of israel in the future." according to the story, prime minister ehud olmert "shrugged off" meshal's statement.

in december 2010, hamas announced it would honor any palestinian referendum that approved a peace plan with israel. "we accept a palestinian state on the borders of 1967, with jerusalem as its capital, the release of palestinian prisoners, and the resolution of the issue of refugees," said haniyeh. "hamas will respect the results [of a referendum]," he added, "regardless of whether it differs with its ideology and principles." zvi bar'el, a leading haaretz political analyst, noted: "not a return of refugees, not the destruction of the state of israel, no preconditions.

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).

the answer is physical        

explanation: