This paper is a continuation of Maulahshree Shanbagh’s “Sticking out like a non-dominant thumb. Asymmetric use of mobile interfaces”, and Kuldeep Umaraiya’s “Hand Dominance and Fitts’ Law : Handedness and Fitts’ Throughput in HandheldTouchscreen Devices”, in which we present a two-part study(n=20), first, to calculate Sigma A values for different finger and width conditions as a development to Xiaojun Bi’s work on Dual-Distribution hypothesis, and release 24 Sigma A values for different W x F cases where W is the width which has 3 levels–9mm, 6mm, 3mm and F is the finger used, which has 4 levels– Dominant finger (DF), Dominant thumb (DT), Non-dominant finger (NT), Non-dominant thumb (NT) for both right and left-handed users separately. Second, we gauge the effect of hand-dominance on Fitts’ throughput through four test cases—forefingers and thumbs of dominant and non-dominant hands in discrete tapping tasks for touch-based mobile interfaces. We were able to build on Maulashree’s hypothesis and reproduce the results, while, as expected, we recorded higher throughputs compared to Kuldeep’s paper which surprisingly showed lower throughputs for a young and tech-savvy sample size. The study revealed no significant difference between left[1]handed and right-handed users.