The objective behind the writing of this article is stem from the kind of thesis and dissertation channeled by most social science student in their doctorial and MPhil studies currently. Almost all the doctorial papers I supervised late December 2016 up to date in the area of macroeconomics, microeconomics and financial economics had common characteristics in theoretical developmental error, and it causes is as follows Poor development of cogent invariables for correlation or causational test Weak understanding and the usage of statistical analysis for empirical verification to contribute to cogent knowledge which is theoretically applicable to the general population, with the exception of exercising their mathematical authority for academic purposes solely.
It is my optimum priority to educate corporate organizations and Management within Africa that highly depends and largely make their decisions based on empirical findings as a result resort to colleges and research centers for assistance yet never meet their investment expectations due to failure in hypothetical deductions to the real world, should re-consider visiting my chamber because we have an antidote to such a problem. The reason behind the failures is as a result of the above listed errors which is easily undermined or overlooked in the bases of theoretical development and applications
A lot of works has been done in these areas by my chamber to understand the accurate parametric estimate to adopt in every empirical studies and assumptions to rely upon to guide in choosing appropriate statistical tool for testing, example like the T-Test, Chi-square test, Pearson’s Correlation Coefficient test etc. to arrive on a logical, consistent and coherent deduction derive from an empirical stylized facts that reflect the reality of population.
We encourage and invite you, if you have such challenges currently faced by your organization, send your empirical studies to our chamber for data treatment or possible entrust us to produce an accurate and empirical work imbued into it a strong analytics for applied theoretical development to guide corporate quality decision making and execution.
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