Sentence examples for the data were investigated using from inspiring English sources
Furthermore, the data were investigated using graphical displays (histogram, scatterplot) and the Spearman's rank correlation coefficient with its 95% confidence intervals (CI) [ 17] to determine the amount of correlation between both response scales (NS and LS) for each item.
The population structure in the data was investigated using putative population 'K' values ranging from 2-10 (10 replicates per K value) with a STRUCTURE model including admixture and correlated allele frequencies.
The normal distribution of the data was investigated using the Kolmogorov-Smirnov test.
The qualitative data were investigated using thematic analysis.
Categorical data were investigated using the chi-square test.
All MS/MS data were investigated using the Mascot search engine (Matrix Science Ltd., London, UK, http://www.matrixscience.com) against the Homo sapiens (human) subset of the Swiss-Prot and the RefSeq protein sequence databases.
Differences between groups (anthropometric and metabolic characteristics (age, body mass index (BMI), total cholesterol and total triglycerides), cholesterol absorption and synthesis ratios and all expression data) were investigated using the two-tailed Mann–Whitney U-test.
Distributions of data were investigated using histograms and the one-sample Kolmogorov-Smirnov test against normal distribution (Kinnear and Gray, 2000).
Comparisons between groups were made using the un-paired t-test and correlations with array data were investigated using Pearson correlation on GraphPad Prism 5 (La Jolla, CA, USA).
Demographic data were investigated using a questionnaire directed at the adolescents.
The relationships between blood 2,3,4,7,8-PeCDF, PCB and PCQ concentrations and medical/laboratory examination data were investigated using principal components and logistic regression analyses.
