Statistics is an inclusive matter expedient in practically all restraints, especially in social science studies. Each and all scholar should have some information in Statistics and necessity practice statistical tools in his or her study, one should know nearly the prominence of statistical tools and how to use them in their study. The eminence pledge of the work must be allocated with: the statistical processes essential to regulator and validate the investigative measures as well as the resultant data making errors in methodical work is inevitable. This is the reason why a throng of different statistical tools is, mandatory some of them meek, some complex, and repeatedly very detailed for convinced resolves. In methodical work, the utmost vital common process is the comparison of data, or sets of data, to enumerate precision (prejudice) and accuracy. Providentially, with a few simple suitable statistical tools most of the info needed. In consistent study work can be got: the “t-test, the “F-test”, and regression analysis. Clearly, statistics are a device. In social sciences, first, identify the category of data, parametric or nonparametric, based on the data, then carry on the study. A thing to be noted at the time of collection of data is that it must be a sample of Big Data, because it will generate nearby analysis, which is actually required by the researcher.

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A Study on the Application of Different Statistical Tools in the Field of Social Science Paradox

  • Chinmoy Ghosh

摘要

Statistics is an inclusive matter expedient in practically all restraints, especially in social science studies. Each and all scholar should have some information in Statistics and necessity practice statistical tools in his or her study, one should know nearly the prominence of statistical tools and how to use them in their study. The eminence pledge of the work must be allocated with: the statistical processes essential to regulator and validate the investigative measures as well as the resultant data making errors in methodical work is inevitable. This is the reason why a throng of different statistical tools is, mandatory some of them meek, some complex, and repeatedly very detailed for convinced resolves. In methodical work, the utmost vital common process is the comparison of data, or sets of data, to enumerate precision (prejudice) and accuracy. Providentially, with a few simple suitable statistical tools most of the info needed. In consistent study work can be got: the “t-test, the “F-test”, and regression analysis. Clearly, statistics are a device. In social sciences, first, identify the category of data, parametric or nonparametric, based on the data, then carry on the study. A thing to be noted at the time of collection of data is that it must be a sample of Big Data, because it will generate nearby analysis, which is actually required by the researcher.