What texts do jews consider scared

because everyone tends to get their feelings hurt if they don't agree with something someone is doing and vice versa. it's a major issue that needs to be dealt with, especially in the christian society. everyone thinks that christians hate gay people, because it is a sin, and christians "just hate everyone who sins and every one is going to hell for sinning"(saying that all in a sarcastic tone but i'm just going to go ahead and tell you why everything with that type of view on christians is wrong.

#1. christians do not hate gay people. and if they do, then that is their own personal problem. christians are not supposed to hate anyone. if you hate a neighbor (or any person basically), then that is as if you are hating jesus.

#2. being gay is in fact a sin according to the holy bible. it is in genesis. and no, the fact that it is a sin, does not mean that god hates you. he is grieved that a person is sinning against his word, but he still loves that person. in fact, christians are supposed to love everyone. we are supposed to love our enemies, but hate the sin they are doing. we love you and respect you, but we do not agree with every decision you make, is basically what i'm trying to say.

hope this you ! (:

19th amendment granted women the right to vote. the 19th amendment guarantees all american 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).