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This paper briefly reviews the Wilcoxon signed rank sum test and proposes a modification. Unlike the Wilcoxon method, the proposed approach does not require that the populations being studied be continuous. Also unlike the Wilcoxon signed rank test the proposed method, does not require the absence of zero differences or tied absolute values of differences. Rather the proposed method structurally makes provisions for these possibilities. The proposed test statistic also enables the estimation of the probabilities of positive, zero or tied and negative differences within the data. This was illustrated with an example and the proposed method was generally more efficient and hence more powerful than the Wilcoxon test statistic with the power increasing as the number of tied observations or zero differences increases

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This article re-examines the link between infrastructure development and output growth in Nigeria for policy formulation and implementation. The article employed the Granger causality test based on the time series vector error correction model (VECM) to reinvestigate the nexus between infrastructure investment and economic growth in Nigeria, using quarterly data from 1997:Q1 to 2017:Q4. This study, therefore, interrogates and accepts the infrastructure–growth hypothesis that increased financial infrastructure and infrastructure stock stimulates long-run real economy expansion in the Nigerian context. JEL Classification: H54, E23, C23