Drag each intended purpose to the correct location on the box. Not all intended purposes will be used. What were three intended purposes of the Indian Relocation Act of 1956?.

answer: look it up on quizlet thats where the answer was found

explanation:

explanati“there were many such dangers, in which the odds were all against them. their children were not as well as they had been at home; but how could they know that there was no sewer to their house, and that the drainage of fifteen years was in a cesspool under it? how could they know that the pale-blue milk that they bought around the corner was watered, and doctored with formaldehyde besides? when the children were not well at home, teta elzbieta would gather herbs and cure them; now she was obliged to go to the drugstore and buy extracts–and how was she to know that they were all adulterated? how could they find out that their tea and coffee, their sugar and flour, had been doctored; that their canned peas had been colored with copper salts, and their fruit jams with aniline dyes? and even if they had known it, what good would it have done them, since there was no place within miles of them where any other sort was to be had? the bitter winter was coming, and they had to save money to get more clothing and bedding; but it would not matter in the least how much they saved, they could not get anything to keep them warm. all the clothing that was to be had in the stores was made of cotton and shoddy, which is made by tearing old clothes to pieces and weaving the fiber again. if they paid higher prices, they might get frills and fanciness, or be cheated; but genuine quality they could not obtain for love nor moneyon:

hey.

the answer is. b) to protect migrating native american tribes .

and, c) to protect migrating native american tribes .

hope this , if it does, consider marking me brainiest! uwu

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).