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118 protocols using sigmaplot version 13

1

Automated Phenotyping System Analysis

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The effect of moved/not moved plants within the automated phenotyping system (Fig. 2) and the comparison between shoots grown inside and outside the agar-filled plates (Fig. 5) was analysed using a one-way ANOVA (SigmaPlot Version 13, Systat Software Inc., Inc., San Jose, CA, USA). Two-way ANOVA for repeated measures over time was used to analyse the time by treatment interactions (Fig. 3; SigmaPlot Version 13, Systat Software Inc., Inc., San Jose, CA, USA). Post hoc comparisons of treatment effects were performed within each group using the Tukey adjustment. To quantify the variation of measured traits the coefficient of variation (CV) was calculated. Hierarchical cluster analysis was performed to visualise the data globally. The cluster analysis was conducted based on the complete linkage hierarchical clustering method and Euclidean distances, with the results visualised as a heatmap using the R “heatmap.2” function of the corresponding R package (R version 3.6.1; package vegan Fig. 6).
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2

Apical Displacement and Residue Analysis

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Data were analyzed for normal distribution and homoscedasticity using the Shapiro-Wilk test and Levene's test, followed by parametric statistical tests. A two-way repeated measure ANOVA was used for the presence of residues after PSP to compare methods, moments and thirds repetition. And 2-way ANOVA was used for apical displacement regarding methods and moments, both analyzes followed by the Tukey test. All tests used an α=0.05 significance level and all analyses were carried out using SigmaPlot version 13.1 (Systat Software Inc., San Jose, CA, USA).
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3

Mechanical Behavior of Bone Defects

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The maximum force (N) and stiffness (N/mm) data were tested for normal distribution (Shapiro-Wilk's test) and equality of variances (Levene's test), followed by parametric statistical tests. Two-way analysis of variance (ANOVA) was performed to analyze the effect of the position of the defect (3 levels -downward, frontal and upward) and span (2 levels -6.0 mm and 10.0 mm). Multiple comparisons were made using Tukey's test. All tests were performed using a significance level of α = 0.05, and all analyses were performed using the Sigma Plot version 13.1 statistical package (Systat Software Inc., San Jose, USA). The metaphysis lengths, the distances from the defect to proximal epiphysis and the stress distributions from the finite element method were analyzed descriptively.
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4

Deformation and Fracture Resistance of Ceramic Restorations

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The data of deformation at 100 N, deformation at maximum fracture load and fracture resistance were tested for normal distribution (Shapiro-Wilk) and the equality of variances (Levene’s test). Two-way analysis of variance (ANOVA) for 2 study factors, ceramic restorations (2 levels: lithium disilicate or leucite ceramic) and cavity preparation (2 levels: conventional or minimally invasive preparations), was performed followed by the Tukey test. The fracture mode data were subjected to the chi-square test. All the tests used a 0.05 level of statistical significance and all statistical analyses were carried out with Sigma Plot version 13.1 (Systat Software Inc., San Jose, CA, USA).
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5

Evaluating Light Output Across Dental Regions

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Data were analyzed for normal distribution and homoscedasticity using the Shapiro-Wilk test and Levene's test, respectively. Two-way ANOVA (22x2) was used to compare the light output for two study factors: the LCU (22 LCUs) and the tooth region (anterior and posterior location). The power data was analyzed by one-way ANOVA. All tests were performed at a significance level of α=0.05 and all analyses were performed by the Sigma Plot version 13.1 statistical package (Systat Software Inc., San Jose, CA, USA). The emission spectra (nm) were analyzed descriptively.
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6

Parametric Statistical Analysis of Datasets

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Sample sizes were based in previous studies or followed ISO recommendations, and were confirmed to provide power of 90% or better. The data were tested for normal distribution (Anderson-Darling) and homoscedasticity (Levene’s test), followed by parametric statistical tests. A two-way analysis of variance (ANOVA) was performed and multiple comparisons were made using Tukey’s test (95%). All analyses were carried out using statistical package Sigma Plot version 13.1 (Systat Software Inc.).
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7

Avian Plasma Estradiol Quantification

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Blood samples were taken the day before habituation began and the day after the CPP post-test. Approximately 0.5 ml of blood was taken from the brachial (wing) vein of the quail and placed into heparinized tubes. To minimize corticosteroid release, the time between removal of quail from carrier box and collection did not exceed 5 min (Dallman & Bhatnager, 2001 ; Mizrahi, Holberton, & Gauthreaux, 2001 ). Blood was immediately centrifuged at 1500 RPM for 5 min and plasma was stored at −20°C until assayed.
To determine plasma estradiol (E2) levels, samples were measured in duplicate via an enzyme-linked immunoassay kit (DRG Diagnostics; estradiol EIA-2693) according to manufacturer’s instructions and modified from the procedure described by Wilhelms, Cutler, Proudman, Anderson, & Scanes, (2005) . The range of sensitivity for the assay was 9.7 pg/ml – 2000 pg/ml. Six samples from photoregressed quail that were below the limit of detectability were assigned a value equal to the sensitivity of that assay (Henare et al., 2011 (link)). The intra-assay coefficient of variance (CV) for the estradiol ELISA was 2.1%. Results were determined using a four parameter logistic standard curve analysis within Sigma Plot version 13.1 (Systat Software, Inc., San Jose, CA).
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8

Parametric Analysis of Experimental Data

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The data from all measured parameters were tested for normal distribution (Shapiro-Wilk) and the equality of variances (Levene’s test). The data submitted to the normality and equality of variance tests showed a parametric distribution and the results were expressed in mean and standard deviation. Thereby, the parametric test Two-way analysis of variance (ANOVA) was performed followed by the Tukey test. All tests employed a level of significance of α = 0.05 and all-statistical analyses were carried out with Sigma Plot version 13.1 (Systat Software Inc., San Jose, CA, USA).
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9

Bone-Implant Contact Analysis

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The BIC, BAFO and ISQ data were tested for normal distribution (Kolmogorov-Smirnov) and equality of variances (Levene's test), followed by parametric statistical tests. All data were analyzed by two-way ANOVA (Implant surface and period of evaluation) followed by Tukey's test. Pearson's correlations test was used to verify the correlation between BIC and BAFO values. All statistical analyses were carried out with the statistical package Sigma Plot version 13.1 (Systat Software, Inc., San Jose, CA, USA) using a significance level of α=0.05.
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10

Statistical Analysis of Optical Power

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The power (mW) data were tested for normal distribution (Shapiro–Wilk test) and equality of variances (Levene's test), followed by parametric statistical tests. One-way analysis of variance (ANOVA) was performed, followed by a Tukey test for comparing different methods to use each barrier and Dunnet test for comparing with the control group without barrier. All tests used a significance level of α = 0.05, and all analyses were carried out with the statistical package Sigma Plot version 13.1 (Systat Software, San Jose, CA, USA). The beam profiling images were analyzed qualitatively.
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