ANSWER QUICK PLZ! six artifacts from Ancient Greece—one for each of the six S. P.R. I.T. E. categories
a three to four sentence explanation for each of the S. P.R. I.T. E. artifacts, telling why the artifact should be included and how it was important to the people of Ancient Greece
one image or sketch for each of the six artifacts
Research: Choose typical examples from ancient Greek cities such as Athens, Sparta, and Corinth.

Examples of Sprite Elements: Each artifact in your exhibit should represent an Ancient Greek item, person, place, or event to illustrate these six S. P.R. I.T. E. categories. Below are examples to guide you:

social—map of the city or article of clothing
political—government document
religious—a temple or religious festival
intellectual—sculpture, artwork, or writings
technological—tool or other piece of technology
economical—goods for sale or coins

well first we can compare on what the slave masters ate and what the slaves ate well the masters ate fancy great food like chicken rice mash potatose and stuff like that and slaves ate well food that your not suppost to eat like the weird parts of turkey and chicken and slaves master chilled beat and eat and slaves work get beat and get little of sleep there you go

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).

there is not all the infomation needed to answer this question.   we need the who was going, or we need to know what islands you are talking about.