The correct answer to this open question is the following.
Although there are no options attached, we can say the following.
The theoretical perspective that would be most appropriate for studying the experiences of migrant farmworkers in the United States would be racialized discourses.
In sociology terms, when we talk about racialized discourse, we mean the kind of discourses and references that involved racial issues.
In the case of immigrant farmworkers in the United States, there have always been racial issues about immigrants that arrive in the US looking for better opportunities for their families. From the 1800s to this precise day, immigrants are not well accepted by white Americans for many reasons. White Americans believe that "America is only for Americans." They think that immigrants took jobs that belong to the American people. They think that immigrants distort the American culture with their own customs, culture, language, religion, and traditions.
Back then <span>Europeans prohibit trading between the different American colonies because the practice Mercantilism, which means that they wanted to keep all their wealth to themselves.
When Trades between two entity happens, both wealth of the trading partners will increase due to the profit that they generate through the trades. The Europeans do not want this to happen because they wanted to keep America powerless and under their control.</span>
Answer: the ability of the witness to explain the probability that no other person, except an identical twin has the same DNA type as that discovered at the crime scene.
Explanation:
DNA (deoxyribonucleic acid) can be obtained from blood, hair, and many biological materials.
DNA evidence is one of the most secure methods applied to criminal cases, even for offenses from before the advancements in DNA-testing technology.
However, identical twins share the same DNA, so their DNA is not useful as evidence of a crime, nor a paternity test.
Answer:
The conclusion is false, because it is assuming that correlation = causation.
Explanation:
An important principle in statistical analysis is the principle that when correlation exist between two variables or more, it does not mean that one of the variables are causing the other to appear in a certain manner.
Remember that correlation means that you are investigating whether a relationships exists between two variables; in this example, as we can see, it is between the biodiversity in an ecosystem and the population of an insect.
The graph can be said to illustrate the result of the research; that as the biodiversity of the ecosystem goes down, the insect's population goes up. This is a form of negative correlation.
However - we do not know what is the direction of the relationship; the student concludes that as some insects die within the ecosystem, the researched insect's population goes up; assuming that the predator species died off and thus the researched insect's population increases.
Yet, it is also possible for the relationship to go towards the other direction; the researched insect population increases - perhaps by the introduction of a new food source that causes the species' population to increase - and thus, this damages the biodiversity of the ecosystem, making the population go down since it is possible that the researched insect is instead the species which is on top of the food chain at that ecosystem.
To investigate the direction of a relationship, further research need to be done and more sophisticated statistical methods need to be used.
