Select the correct answer. Minority groups rallied behind what slogan? A. Double V B. Call to arms C. Tuskegee D. Zoot suit E. We can do it!.

isaiah 53: 4-6 and   romans 5: 6-8 speak how jesus was pierced for our transgressions,   crushed for our iniquities and that god demonstrates his own love for us in this: while we were still sinners, christ died for us, and by his wounds we are all healed.   psalm 22: 6-7 and   matthew 27: 39-40   correlate basically by the fact that all of the people who didn´t believe in jesus, were telling him that if he was so powerful as he said he was, he should save himself.     matthew 27: 35 and psalm 22: 18 refers about how they divided his clothes among them   and cast lots for his garment. isaiah 53: 8-9 and matthew 27: 57-60 express the process of the burial of jesus. psalm 22: 15-16 and luke 23: 33-34 speak about his crucifiction, the humilliation of being surrounded by sinners, and asking the lord for mercy for humanity. finally in john 19: 33-35   and isaiah 53: 12 speak about the most important prophecy, the testimony of a living god, who resurrected and buried all of our sins and guilt, for all of us. when he was crucified a man saw a sudden flow of blood and water from his wound, and he gived testimony, for all o us to believe, that he poured out his life unto death,   and was numbered with the transgressors.   for he bore the sin of many,   and made intercession for the transgressors.

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).

its a !