Barely Significant

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highly significantp < 0.00010.0× alphaqualifiedgold
The linear regression fitted to log length and number of oysters per sack was highly significant (adjusted r 2 = 0.93, F 58 = 809, p < 0.0001), and yielded the following predictive relationship between the number of oysters in a known volume and the mean oyster length: h = 10 (−0.3537 log b + 2.8361) , where h is SH (from umbo to growth edge) in millimetres, and b is the number of oysters in a 52.85 l volume (standard Louisiana sack).
highly significantP = 0.00010.0× alphaqualifiedgold
Statistical Analysis: Paired t -test analysis was used intragroup whereas unpaired t -test was used intergroup between experimental and control groups with significance at P = 0.05 and highly significant at P = 0.0001.
highly significantp < 0.00010.0× alphaqualifiedgold
As r -equivalent and r -contrast ( Rosenthal & Rubin, 2003 ) can overestimate true population effect size ( Dunlap, Cortina, Vaslow, & Burke, 1996 ; Lakens, 2013 ), and not all studies reported sufficient information to recover sample or population standard deviations, we also computed a simple and conservative vote count test, which shows the obvious fact displayed in Figure 2 , that there is a highly significant overall serial dependence effect ( X 2 (1) = 20.8, p < 0.0001).