Attorney general; duties. the attorney general shall act as the legal advisor of the executive department, shall represent the state in the supreme court in all capital felonies and in all civil and criminal cases in any court when required by the governor, and shall perform such other duties as shall be required by law. - paragraph iv, section iii, article v of the constitution of the state of georgia what conclusion can you draw about the position of attorney general? a) no one is qualified to be the attorney general. b) the position is held for the life of the individual. c) the position involves being the "main lawyer" for the state. d) governors usually rely on the attorney general for election advice.

the first action that caused many creek indians to turn against william mcintosh was when mcintosh a) supported the united states during the creek war of 1813–1814. b) attempted to stop the sale of creek land to the u.s. government. c) seized control of over 1,000 acres of land belonging to the creeks.

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).