Arrange these events related to the women’s rights movement in the order in which they occurred. a. the women’s rights movement is interrupted by the civil war, as women’s rights activists support the union. b. the first women’s rights convention is held at seneca falls, new york. lucretia mott and elizabeth cady stanton are not allowed to participate in the world c. antislavery convention in london. d. the nineteenth amendment is passed.

CBAD

Explanation:

This is the correct order of events in this list. The Antislavery Convention in London took place in 1840. The Seneca Falls Convention took place in 1848 in New York. This was the first women's rights convention and a very important step for the feminist movement. The American Civil War broke out in 1861 and lasted until 1865. Finally, the nineteenth amendment was passed in 1919 and ratified in 1920, and it granted all women the right to vote.

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).

i might not be much but i think its c