Use the graph to help you determine whether each statement is true or false. Most energy in California comes from fossil fuels.

true

false

the answer is true I believe ^^

Most energy in California comes from fossil fuels.

true

California has increased the use of renewable energy since 1997.

false

Explanation:

E2021

athenian democracy developed around the fifth century bc in the greek city-state (known as a polis) of athens, comprising the city of athens and the surrounding territory of attica, and is often described as the first known democracy in the world. other greek cities set up democracies, most following the athenian model, but none are as well documented as athens'.

it was a political system of direct democracy, in which participating citizens voted directly on legislation and executive bills. participation was not open to all residents: to vote one had to be an adult, male citizen, i.e., not a foreign resident, a submissive or a woman, and the number of these was "probably no more than 30 percent of the total adult population."[1]

the longest-lasting democratic leader was pericles. after his death, athenian democracy was twice briefly interrupted by oligarchic revolutions towards the end of the peloponnesian war. it was modified somewhat after it was restored under eucleides; the most detailed accounts of the system are of this fourth-century modification rather than the periclean system. democracy was suppressed by the macedonians in 322 bc. the athenian institutions were later revived, but how close they were to a real democracy is debatable. solon (594 bc), cleisthenes (508/7 bc), and ephialtes (462 bc) contributed to the development of athenian democracy. cleisthenes broke up the power of the nobility by organizing citizens into ten groups based on where they lived rather than on their wealth.

hope this !

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).