Respuesta :
Answer:
Option B
Step-by-step explanation:
In this case, rather than tell you why option B is correct, let me tell you why the other options are incorrect.
As you can see, all the options share one common answer and is the sample size, so, this is one of the first key factors.
In option A, you have same percentage of men and women. This is not true, because the poll can be used only by men or women, so the percentage of men and women are not factors here.
In option C, we only have the population size. This is not accurate because, because we can determine the accuracy of the poll whether you have a population size of 20 people, and get the same accuracy with a population size of 100.
In option D, it's not neccesary the timeline, because you can take the accuracy in one time, and the result will be the same after time, for example, suppose the opinion poll is about politic, and the question is whether you liked Trump at the beggining or not. You could answer no at first, and say no again, 5 years later if the question remains the same.
Finally option E, you don't need to know the nature of the sampling process to get the accuracy of the poll.
The most important here is which method was taken to do the poll, for example, if it was oral, written or other method.
The key factors in determining the accuracy of the opinion poll are given by: Option B. the size of the sample and whether the sample was selected from the population by a random method.
Why do we do sampling?
We do sampling so that we don't have to work on entire population of items but only on that sample in a way that we can predict information about population.
Most of the times, it isn't possible in real world to work on entire populations. Samples come out for rescue by assumptions that they will have some properties of the population pertained in them.
Thus, the sample should be taken out such that it includes data of the population as much as it can in unbiased way so as to imitate population. (assuming that we want the sample to contain the summary of the population).
What is simple random sampling?
If the sampling is done from the population randomly, without any other rule, then such sampling is called simple random sampling. Items are selected in a fixed size, all randomly.
What is stratified sampling?
Sampling which is done by taking the main population divided in categories(called strata), then such sampling from stratas (sub-parts of the population) is called stratified sampling.
What is systematic random sampling?
In this type of sampling, starting of the sampling is done randomly, but then rest of the samples are collected by an order. Like for example, first point is selected randomly, then all points are selected that they are equidistant from each other in the population.
What is convenience sampling?
The word "convenience" summarizes this sampling. It is done in a way that those values from population are sampled which are in convenience with the researcher. Like if some random picking is to be done from beads spread on the ground, then the researcher picking those beads which are closer to him.
Now, polls need two thing to cover. They should cover a wide region and not specific regions as generally opinions are same in a specific region, so opinion poll should do it in a random and widespread way so as to summarize the population's opinion in a good manner.
The sample size is necessary as greater the sample size is, greater it includes real data.
Rest of the items discussed in options are of not much use, maintaining good sample size and randomized sampling will work. Anonymity of sampling process is needed too since this is opinion poll.
Thus, the best option here is Option B. the size of the sample and whether the sample was selected from the population by a random method.
Learn more about sampling here:
https://brainly.com/question/24842573
