The main point here is that the Sample Mean can be used to estimate the Population Mean. What I mean by that is that on average, the Sample Mean is a good estimator of the Population Mean. There are two reasons for this, the first is that the Bias of the estimator, in this case the Sample Mean, is zero. A Bias other than zero overestimates or underestimates the Population Mean depending on its value. Bias = Expected value of estimator - mean. This can be expressed as EX(pheta) - mu (pheta) As the Sample Mean has an expected value (what value it expects to take on average) of itself then the greek letter mu which stands for the Sample Mean will provide a Bias of 0. Bias = mu - mu = 0 Secondly as the Variance of the the Sample Mean is mu/(n-1) this leads us to believe that the Variance will fall as we increase the sample size. Variance is a measure of the dispersion of values collected from the centre of the data. Where the centre of the data is a fixed value equal to the median. Put Bias and Variance together and you get the Mean Squared Error which is the error associated with using an estimator of the Population Mean. The formula for Mean Squared Error = Bias^2 + Variance With our estimator we can see that as the Bias = zero, it has no relevance to the error and as the variance falls as the sample size increases then we can conclude that the error associated with using the sample mean will fall as the sample size increases. Conclusions: The Random Sample of public opinon will on average lead to a true representation of the Population Mean and therefore the random samle you have will represnt the public opinion to a fairly high degree of accuracy. Finally, this degree of accuracy will rise incredibly quickly as the sample size rises thus leading to a very accurate representation (on average)
52mm thread is the size of the filter or lens hood (sun shade) that screws into the front of the lens. 52 mm was a fairly common size, on Nikons especially, but nowadays, with large diameter zoom lenses, the filter sizes tend to be 67mm or bigger.
Chances are fairly high overall. Killeen has had several weak tornadoes in the past, and a number of strong tornadoes have hit fairly close to the town. The chances of it getting hit at any given time or in any given year, however, are low.
Fairly cheap depending on what you are looking for. Best Buy has several under one hundred dollars.
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.
It is an adverb. It can mean "in a fair manner" (He was treated fairly). It can mean "somewhat" (He does his job fairly well).
the tax is fairly assessed
fairly close
fairly fast.
Fair/fairly.
properly/fairly
The tax is fairly assessed.
The tax is fairly assessed.
You can say "assez bien" in French to mean fairly well.
A report by an auditor with out favoring anyone or taking sides
daybreak or dawn
Fairly in that context means justly. It means they cannot give a true opinion.