Which of the following describes a family where the mother and the father share authority? a. matrilocality c. egalitarian b. patriarchy d. matriarchy

The answer is egalitarian

In a family with an egalitarian system, duties and obligations are shared in equal terms by both the father and the mother. This includes the equal distribution of the household and the responsibilities in case they have children are shared. In an egalitarian relationship the members as seen as equals, in that they deserve the same rights and opportunities.

When both work together, they combine to take care of running the home. In case the kids have homework, they can interchange duties. They can also work together to clean the house and to organize the events for the children or for allowing time for themselves.

answer: the purpose of the "index of forbidden books" was to prevent the contamination of the faith or the corruption of morals of roman catholics according to canon law, through the reading of theologically mistaken or immoral books. the condemnation of published books, thus listed in the index librorum prohibitorum.

explanation: index librorum prohibitorum, (latin: “index of forbidden books”), list of books once forbidden by roman catholic church authority as dangerous to the faith or morals of roman catholics. publication of the list ceased in 1966, and it was relegated to the status of a historic document.

the 20th and final edition appeared in 1948, and the index was formally abolished on 14 june 1966 by pope paul vi. the aim of the list was to protect the faith and morals of the faithful by putting a stop to the reading of theologically, culturally, and politically disruptive books.

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).