What are two causes for countries to result in total war in world war 2

Hitler ignored the treatment of Versailles because he made an army of more than 100,000 men he also had aircraft and a navy.

Another reason is that  Germany invaded Poland which Britain and France if they invade Poland Britain and France will declare war on Germany which they did

Explanation:

Mark as brainllest

the options of this question are:

a) president wilson’s desire to form the league of nations  

b) germany’s desire for reasonable conditions of surrender and fair treatment.  

c)europe’s desire to maintain original pre-war borders  

d) the allies’ desire to seek retribution for germany’s actions

the correct answer is d) the allies’ desire to seek retribution for germany’s actions.

the allies’ desire to seek retribution for germany’s actions had the greatest influence on how germany was treated after world war i.

it is estimated that the cost of wwi was around 260 billion dollars, and the allies wanted germany to pay a big part for the losses. the allies also wanted to impose land losses as well as limit the army of germany and confiscate their industrial resources to apply the retribution.

in the united states, president woodrow wilson created the fourteen points to be delivered to germany, as a peace program. he presented these documents to the u.s. congress in january 1918.

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).