The data were collected and analysed initially in Microsoft Office Excel 2007 to obtain the prevalence of coccidian oocysts. A statistical analysis was performed by using JMP® Software, version 7.0 (SAS Institute Inc, 2007). The t-test was used to compare the prevalence of Eimeria spp. The coccidiosis prevalence was analysed using age (1–10 days, 11–20 days, 21–30 days, 31–40 days and 41–50 days) as a factor of variation. The statistical analysis was performed using analysis of variance (ANOVA). The values were statistically significant when p < 0.05.
Jmp software version 7
Manufactured by SAS Institute
Sourced in United States
JMP software version 7 is a data analysis and visualization tool developed by SAS Institute. It provides capabilities for interactive data exploration, statistical modeling, and reporting. The software is designed to help users gain insights from their data through a user-friendly interface and a range of analytical features.
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Lab products found in correlation
9 protocols using jmp software version 7
1
Prevalence of Coccidian Oocysts Analysis
2
Statistical Analysis of Experimental Data
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Statistical analysis was performed using JMP software version 7.0 (SAS Institute Inc., Cary, NC, USA). The experimental data were evaluated by means of multiple regression analysis and one-way analysis of variance (ANOVA). Validation of the model was expressed by the coefficient of determination (R2) and its statistical significance was ascertained by a F-test. Models were considered significant at p values <0.05. Statistica software version 10 (StatSoft. Inc., Tulsa, OK, USA) was applied to perform statistical differences between mean values at p < 0.05 using one-way analysis of variance (ANOVA), followed by the Tukey’s honestly significant difference (HSD) post hoc test.
3
Evaluating Diatomaceous Earth Efficacy
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Before the analysis, all data were assessed for assumptions of normality using the Shapiro–Wilk Test and for homoscedasticity using Levene’s Test. The assumptions were met for parametric analysis of all data. Then, the data were subjected to MANOVA [18 ] with time interval as the repeated factor, insect mortality as the response variable, and DE type, dose, commodity, and DE application period as the main effects. When significant differences were detected, post hoc comparisons using the Tukey–Kramer (HSD) test followed to compare means at α = 0.05. All analyses were performed using the JMP® Software (version 7.0) (SAS Institute Inc., Cary, NC, USA).
4
Oocyst Reduction Kinetics Analysis
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A statistical analysis was performed using JMP ® Software, version 7.0 (SAS Institute Inc, 2007). The results were expressed in mean ± SE. The values were statistically significant when the P value was ≤ 0.05. Inoculums suspension taken on time 0, 1, 2, 4, 6, 8 and 24 h on oocysts number was examined by the Student's t test. The lethal concentration is defined as the concentration that reduces the initial number of sporulated oocysts to 50%.
5
Statistical Analysis of Biological Data
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The data are expressed as means ± standard deviations or standard errors. Comparisons among groups were performed using the Mann–Whitney U test or one-way ANOVA, and correlations among groups were evaluated by Spearman’s analysis using Graphpad Prism 5 software (Graphpad Software, La Jolla, CA, USA). Results of the multivariate analysis were assessed through multiple regression analysis using JMP software version 7 (SAS Institute Inc., Cary, NC, USA). A p-value of < 0.05 was considered statistically significant.
6
Pherotype Distribution and ITS2 Analysis
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Pearson contingency analysis was conducted for comparison of pherotype distribution between and within populations, by using JMP software version 7 (SAS Institute Inc., Cary, NC, USA). One-way MANOVA was conducted with the same software, for comparison among females with differing ITS2 sequence identities that were sampled from different populations.
7
Lipid Droplet Analysis in Cells
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All statistical procedures were performed using JMP software version 7 (SAS Institute, Cary, NC). All reported data are means ± SEM. Treatment and experiment number were defined as fixed effects in the model. All dependent variables were checked for homogenic variance by unequal variances in JMP software and if the variance was not homogenic, a Welch-ANOVA test was performed. Comparisons were made by ANOVA followed by Tukey-Kramer HSD test.
The distribution of cell phenotypes based on lipid droplets size categories and size categories of lipid droplets in the medium was compared by chi-square test followed by Fisher's exact test. Significance probe was set to 0.05 and tendencies were reported at 0.05 < P ≤ 0.1.
The distribution of cell phenotypes based on lipid droplets size categories and size categories of lipid droplets in the medium was compared by chi-square test followed by Fisher's exact test. Significance probe was set to 0.05 and tendencies were reported at 0.05 < P ≤ 0.1.
8
Stability Evaluation of Diluted ME Formulations
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Stability evaluation of the diluted ME formulae was performed by applying the principal component analysis (PCA) and the agglomerative hierarchical clustering (AHC) via JMP ® software version 7 (SAS, CARY, NC). The evaluation was performed based on the change after 2 h and 24 h from dilution in the droplet size and PDI. Clearly, in PCA, the matrices of covariance were acquired followed by extraction of the principal components. Then, prior to analysis, all data were normalized against their standard deviation (SD) [40] (link). The primary objective of PCA was to decrease the dimensionality of the dataset regarding the most discriminating variables and to cluster into meaningful groups [41] (link). On the other hand, for AHC, the clustering was performed using the nearest neighbor/ single linkage method, where the distances between data and drawn dendrograms were obtained using the Euclidean distance. The aim was to select the formulations having their 2 h and 24 h data clustered together with relatively similar Euclidean distance implying minimal changes with time and consequently indicating their stability [35] .
9
ANOVA Analysis of Experimental Data
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ANOVA testing of obtained data was conducted using JMP software, version 7 (SAS Institute, Cary, NC).
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