Why the term "Western Civilization" problematic

native americans

american indians have appeared on many u.s. coins including the buffalo nickel

benjamin franklin learned a lot about democracy by observing the iroquois indian

the term "indian" originated with christopher columbus. he thought that he had reached the east indies when he landed in america and therefore named the inhabitants indians.

camping

camping can relieve stress and depression

your campfire may be a hazard

long-term campsites include permanent and semi-permanent setups and can lead to closer relationships with neighboring campers

buffalo

buffalo are herbivores and feed on about 60 pounds of plant material and grasses a day.

buffalo are considered to be an adult when they reach 3 years old.

buffalo’s tail can be almost three feet long, and they use it to swap at pesky bugs.

hey, did you get this? could you me out?

bipartisan basally means two groups of people who dont agree with each other (republican and democrat) make an agreement or work with each other

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).