Przeczytaj tekst źródłowy, a następnie dokończ zdania. Wybierz właściwe odpo¬wiedzi spośród podanych. Tekst źródłowy Królestwo Polskie i Wielkie Księstwo Litewskie jest jedno nierozdzielne i nieróżne ciało, a także nieróżna, ale jedna spolna Rzeczpospolita, która się ze dwu państw i narodów w jeden lud zniosła* i spoiła*. Akt unii lubelskiej, 1569 r. znieść – tu: zgromadzić spoić – tu: złączyć 1. Powyższy tekst jest a) dokumentem. b) zapisem kronikarskim. c) fragmentem pamiętnika. d) listem dyplomatycznym. 2. Z tekstu wynika, że Polska i Litwa a) rozłączą się. b) staną się jednym państwem. c) pozostaną w takim sojuszu jak dotychczas. d) zaczną ze sobą walczyć.

b. would be the answer if not try c

hope this correct me if my answer is wrong if i am correct can you plz give me brainliest

: ) : 0 : o : d

explanation:

the correct answers are: 1) lay and collect taxes and duties; 2) pay debts; 5) borrow money;   6) regulate commerce with foreign nations.

article 1, section 8. refers to the powers of congress. according to the united states constitution: “the congress shall have the power to lay and collect taxes, duties, imposts, and excises, to pay the debts and provide for the common defense and general welfare of the united states.”

the principle of popular sovereignty is most closely related to the concept of

democracy

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).