30 points! Write at least a paragraph explaining the important people of Italian unification. A quality explanation will include who EACH person was to Italian unification, (Mazzini, Cavour, Garibaldi, and King Victor Emmanuel), why they were important and what things or steps did they take to help unification efforts.​

King Victor Emmanuel II, to unify the Italian states through war. ... In 1860, they marched into South Italy and the Kingdom of the two Sicilies and succeeded in winning the support of the local peasants in order to drive out the Spanish rulers. In 1861 Victor Emmanuel II was proclaimed the king of United Italy.

Cavour : (i) He led the movement to unify the regions of Italy. ... (2) Garibaldi : He gathered a large number of armed volunteers and marched into South Italy and the Kingdom of the Two Sicilies and succeeded in winning the support of locals to drive out Spanish.Garibaldi fought for Italian unity and almost single-handedly united northern and southern Italy. He led a volunteer army of guerrilla soldiers to capture Lombardy for Piedmont and later conquered Sicily and Naples, giving southern Italy to King Victor Emmanuel II of Piedmont, who established the Kingdom of Italy.

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).