Analysis Research Paper

By Author: Payel Guha
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Analysis research paper will help you in analyzing a topic and come to some definite conclusions about the topic. Writing a good analysis research paper demands a good amount of analytical skills from the writer.
There are different methods of analyzing. Some of the good qualities of a good analytical tool are-
1) Unbiasedness- This is a desirable property of a good analytical tool. The term unbiasedness refers to the fact that a sample mean is an unbiased estimator of a population mean because the mean of the sampling distribution of sample means taken from the same population is equal to the population mean itself. We can say that a statistic is an unbiased estimator if, on average, it tends to assume values that are above the population parameter being estimated as frequently and to the same extent as it tends to assume values that are below the population parameter being estimated.
2) Efficiency- Another desirable property of a good analytical tool is that it be efficient. Efficiency refers to the size of the standard error of the statistic. If we compare two statistics from a sample of the same size ...
... and try to decide which one is the more efficient estimator, we would pick the statistic that has the smaller standard error or standard deviation of the sampling distribution. Suppose we choose a sample of a given size and must decide whether to use the sample mean or the sample median to estimate the population mean. If we calculate the standard error of the sample mean and find it to be 1.05 and then calculate the standard error of the sample median and find it be 1.6, we would say that the sample mean is a more efficient estimator of the population mean because its standard error is smaller. It makes sense that an estimator with a smaller standard error or with less variation will have more chance of producing an estimate nearer to the population parameter under consideration.
3) Consistency- A statistic is a consistent estimator of a population parameter if as the sample size increases; it becomes almost certain that the value of the statistic comes very close to the value of the population parameter. If an estimator is consistent, it becomes more reliable with large samples. Thus, if you are wondering whether to increase the sample size to get more information about a population parameter, find out first whether your statistic is a consistent estimator. If it is not, you will waste time and money by taking larger samples.
4) Sufficiency- An analytical tool is sufficient if it makes so much use of the information in the sample that no other analytical tools could extract from the sample additional information about the population parameter being estimated.
Apart from the above mentioned characteristics other properties like validity; reliability should also be present in the statistical tools.
Writing an analysis research paper requires investigating mind from the researcher and the ability to understand the implicit clues hidden in any problem statement.

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