According to the 2010 JMP estimate, 11 countries make up 76% of the 2.5 billion people lacking improved sanitation, with one-third in India.
Using the statistical program JMP, we estimated Y p/x of 504 U/g resulting in a 0.8% of error between estimation and experimental value.
According to the Joint Monitoring Programme (JMP), it is estimated that 20percentt of Ghana's urban population has access to safe sanitation, while the average in the region is 41.3percentt.
To test for differences in phenotypic and extended phenotypic traits (traits which impact levels beyond the individual; see [14]) across 21 different genotypes of S. altissima, we used restricted estimated maximum likelihood in SAS-JMP 5.1.
Principal components analysis on the correlation matrix among metabolites and expression profiles was performed using the "correlation and principal components" function in JMP Genomics and the first 10 principal components were estimated.
R-squared values for all estimates of the amount of variance among individuals were estimated as the square of the Pearson correlation coefficient reported by SAS/JMP.
JMP version 9.0.1 for Windows (SAS Institute, Cary, NC, USA) was used for all differences in the distribution of related factors in OPMDs and in the group with malignancies was estimated using a chi-square test.
Remaining analyses were conducted in JMP (SAS) and Wilks's partial η was used to estimate the relative importance of model terms (see Langerhans and DeWitt 2004).
Correlations were performed with the statistical package JMP 5.0.1a to evaluate the degree of divergence between paired datasets and estimate the impact of PCR approaches (Figure 1A), size fractionation (Figure 1B), and 18S rDNA versus 18S rRNA clones libraries (Figure 1C), on environmental diversity surveys.
To estimate whether the mean fitness for a particular trait was different between MA lines, control lines and the ancestor replicates, non-parametric Wilcoxon rank sum tests, implemented in JMP (Jmp 2011), were used.
