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Significance Testing - Essay Example

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There are some researchers as well as the analysts who believe that there should be newer better and alternative methods other than the ones being used for the analysis as the statistical methods. Although it is fact that there are many data analysis strategies that are available in the market for the researchers and the analysts but still the fact that needs to be kept in mind is that the statistical data analysis is the one technique that has been seen to be much more reliable than the other newer techniques.
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Significance Testing
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Download file to see previous pages A research project always has the goal to investigate the causes and the reasons and thereby to be able to draw the conclusion in the basis of the changes that take place. Responses that have been counted in this vase are the independent or the dependent variables or the predictors (Park, 2005).
In statistics sampling is referred to as the selection of a portion of the population whereas this is the sample that represents the major part of the population. Sampling types in this case include the convenience, accidental, quota sample, random sampling as well as the cluster sampling. In this case it has to be seen as to what the margin of error is in the specific sampling technique. Main problems that are faced in this case is the sample bias where the sample is not the representative of the whole population thereby the sample has to be chosen rather carefully. Importance that has been used in the statistical testing is that in the research projects it can be used to test the data in the experimental basis, so as to draw the conclusion that are based on the facts representing the major part of the population. ...
Statistical hypothesis testing has been considered to be one of the main techniques in the frequentist statistical inference, and still it has been seen that this is the technique that has been under criticism. An important role is played by the statistical hypotheses testing in statistical inferences. It has been said by statisticians that the hypothesis testing although has many shortcomings and still there are many changes that are needed but it is the technique that plays central role in theory as well as the practice of statistics (Levin, 1998).
When the null hypothesis are being tested than the main point that has to be taken into account is the effect size. As it has been known that here are four main parts of the statistical answers and they are inclusive of the effect size, the sample size, the alpha level that indicates the significance level of the newer or the odds that have been observed by the answer by the significance testing and the last one being the power that indicates the odds that have been observed by the reader of the research results. It has been estimated that tout of these for components there are some components that can be manipulated and this all depends upon the situation and the circumstances in which the research of the project has been carried out. The main point that needs pt be argued here in this case that the null hypothesis is known as the null hypotheses as it has the no difference or no effect case.
The main statistical technique that has been facing the discussion hitherto by the professors, the researchers is the significance test. It has changed its face into a controversy from being just the topic of discussion these days. Since many years ...Download file to see next pagesRead More
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