Basics of Statistics Used in Dissertation

One of the difficult and anxious stages while writing a research paper is to analyze the reports and conclude the trends with appropriate statistics. There are different stages of research such as the design of the research, questionnaire formulation, pilot study and test conduction, deployment of data management systems. After the stage of data collection, one needs to know certain basics of statistical tests in order to interpret the results in an appropriate standard manner. As it is said, statistics is the core of any research. Research usually has following steps of data gathering, data cleaning and then analysis of the same. It involves collecting and cleaning the data in the first stage. And then, formulation of hypothesis and assigning variables and data sizes to the given data. One has to then finally choose an appropriate statistical test based on his preferences and the type of data collected. Being proficient in a domain and getting expertise in one thing but one need to have knowledge of analytical tools such as SAS, Excel, SPSS, E-Views, Stata and Minitab. Suitable tool has to be chosen based on the type and topic of the research and the preference of the researcher. Conclusion of the research plays an important role and a wrongly interpreted data will lead to an incorrect conclusion. Statistics are broadly classified into two types: Descriptive statisticsĀ  Inferential Statistics A basic understanding of these types will help in choosing an appropriate analytical tool and then designing an appropriate statistical test. Parametric and Non-parametric also requires certain pre-requisite statistical tests which forms a part of statistical analysis. The analysis reports first include the details of such prerequisite tests .Then the hypothesis tests of parametric or non-parametric is designed and the significance tests are carried out on such hypothesis. Principal component factor analysis (PCA) is one of the few basic analyses done...

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