Que es la conferencia de yalta y en que afecto a cada pais?​

pizarro staged a mock trial and found atahualpa guilty of revolting against the spanish, practicing idolatry, and murdering huáscar, his brother. atahualpa was sentenced to execution by burning. he was horrified, since the inca believed that the soul would not be able to go on to the afterlife if the body were burned.

when christopher columbus arrived on the bahamian island of guanahani (san salvador) in 1492, he encountered the taíno people, whom he described in letters as "naked as the day they were born." taíno influences survived, however, and today appear in the beliefs, religions, language, and music of caribbean cultures.

ad 1492: taíno meet columbus; “new world” gets new diseases. in the bahamas, the taíno are 125,000 strong in 1492 when they encounter the crew and the italian captain of three spanish ships. christopher columbus seeks a shorter sea route to india to spain get a foothold in the profitable spice trade.

hope this

p.s plz make me a brinties

most people such as me i dont have one but if   i did i would mostly likely quit my job if the economy was down cylcling that means less money if you go to a bigger job that is prospering you can earn more wage and still be able to feed yourself or why you work all people want more money then they have guarteed most people like me would switch jobs for a better one with higher wage

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).

i think it is b not sure tho