Abstract: So many researchers and graduate students get enmeshed with the data analysis section of their dissertations and
often resort to rule of thumbs in deploying incoherent statistics to analyze data. The results are misleadingg
outcomes, resulting in Type 1 and/or II errors. Hypothesis testing yield false narratives and the study conclusions,
totally unreliable. In this study, we offer basic guides to choice of statistics that best answers your research
questions and relevantly test your hypotheses. The integrity of a study is the ability to inform the research
community,.....
Keywords : Assumptions; Multi-collinearity; Type 1 and 11 errors; Statistical significance
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