In what ways did the nile river contribute to everyday life in Egypt

ththis should be under spanish

the founder of the byzantine empire and its first emperor, constantine the great, moved the capital of the roman empire to the city of byzantium in 330 ce, and renamed it constantinople.

the byzantine empire (the eastern roman empire) was distinct from the western roman empire in several ways; most importantly, the byzantines were christians and spoke greek instead of latin.

constantine the great also legalized christianity, which had previously been persecuted in the roman empire. christianity would become a major element of byzantine culture.

constantinople became the largest city in the empire and a major commercial center, while the western roman empire fell in 476 ce.

as emperor, constantine enacted many administrative, financial, social, and military reforms to strengthen the empire. the government was restructured and civil and military authority separated. a new gold coin, the solidus, was introduced to combat inflation. it would become the standard for byzantine and european currencies for more than a thousand years. as the first roman emperor to claim conversion to christianity, constantine played an influential role in the development of christianity as the religion of the empire. in military matters, the roman army was reorganized to consist of mobile field units and garrison soldiers capable of countering internal threats and barbarian invasions. constantine pursued successful campaigns against the tribes on the roman frontiers—the franks, the alamanni, the goths, and the sarmatians, and even resettled territories abandoned by his predecessors during the turmoil of the previous century.

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).