One way hitler violated the treaty of versailles in the 1930s was by

disarming the military.
rearming the military.
encouraging nationalism.
promoting isolationism.

The correct answer is B. Rearming the military.

Explanation

The Treaty of Versailles is an agreement signed by the winning powers of the First World War, in this, one of the matters that was an agreed was the disarmament of Germany, who was blamed for having started the war and had been forced to pay the damage caused by it. Later, during the thirties, Adolf Hitler violated the agreements by forming an armed army, because they had aroused in many Germans the feeling of humiliation (including him). So, the correct answer is B. Rearming the military.

Hitler violated the treaty by rearming the military.

If that's incorrect let me know : )

1920 census

2010 census

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).