The experiments were performed in triplicate. The results were expressed as mean ± SD. Statistical comparisons were made using one-way ANOVA, followed by Dunnett's post hoc test and t-test for multiple comparisons with the control and between extracts, respectively. P values <0.05 were considered statistically significant. Statistical analyses were performed using the JMP version 6 from SAS software (SAS Institute, Cary, NC, USA).
Jmp version 6
Manufactured by SAS Institute
Sourced in United States
JMP version 6.0 is a software application for statistical analysis and data visualization. It is designed to help users explore, analyze, and present data.
Automatically generated - may contain errors
Lab products found in correlation
9 protocols using jmp version 6
1
Comparative Phytochemical Analysis
2
Metabolic Profiling of Cell Lines
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Values are expressed as the mean ± standard deviation. One way analysis of variance was followed by the Bonferroni test for post hoc analysis to evaluate statistical significance. Data were analyzed using JMP version 6 (SAS Institute, Cary, NC, USA). P<0.05 was considered to indicate a statistically significant difference.
3
Cardiac biomarkers in pulmonary hypertension
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Data are expressed as mean ± SD or median (interquartile range) as appropriate. Comparisons between the PH group and controls were performed using Student's t-test. BNP levels were log-transformed (logBNP) to obtain a normal distribution. Comparisons of parameters among 3 groups (WHO functional classes II, III and IV) were performed using analysis of covariance (ANOVA) followed by Tukey-Kramer's HSD post hoc test. The relationships between logBNP and RV measurements (RVWS, echocardiographic measurements, and RHC data) were analyzed with simple linear regression analyses. Determinants of logBNP and BNP changes after treatment (∆BNP) were explored by multiple stepwise regression analyses. All statistical analyses were performed with JMP version 6 (SAS Institute, Cary NC, USA). A P-value <0.05 was considered to be statistically significant.
4
Dopamine Impact on Social Behavior
5
Optimizing Planting Density and Harvest Time
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All experiments were conducted using four replicates, each consisting of three plants with completely randomize design (CRD). Statistical analysis was analyzed with SPSS (IBM Corporation; Armonk, NY, USA). One-way analysis of variance (ANOVA) was used to examine the differences between treatments for each parameter. Statistical differences between treatments were analyzed with Duncan’s multiple range test (DMRT) tested at the p < 0.05 level. The data presented are the mean ± SE (standard error) of four replicates for each group.
In order to investigate the association between different variables at six different planting densities and three harvest times, a principal component analysis (PCA) was performed using the software JMP version 6.0 (SAS Institute Inc., Cary, NC, USA). In addition, Pearson’s correlation coefficient was used to evaluate the relationship between physiological response, growth, yield and AP1 content. Further, a hierarchical cluster analysis was performed using Ward’s method which provides output results in heat map format. For this, Z-scores were calculated by subtracting the actual value from the mean score of each parameter and dividing by the standard deviation of its parameters.
In order to investigate the association between different variables at six different planting densities and three harvest times, a principal component analysis (PCA) was performed using the software JMP version 6.0 (SAS Institute Inc., Cary, NC, USA). In addition, Pearson’s correlation coefficient was used to evaluate the relationship between physiological response, growth, yield and AP1 content. Further, a hierarchical cluster analysis was performed using Ward’s method which provides output results in heat map format. For this, Z-scores were calculated by subtracting the actual value from the mean score of each parameter and dividing by the standard deviation of its parameters.
6
Treatment-Dependent Change Analysis
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Treatment-dependent changes were analyzed by ANOVA. Statistical differences among means were considered significant at p ≤ 0.05. A posthoc test (Tukey-Kramer) was performed following ANOVA. JMP version 6.0 (SAS Institute, Cary, NC, USA) was used for all analyses. Data are presented as means and pooled SEM.
7
Statistical Analysis of Experimental Data
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Differences in statistics among measurements are considered significant at P = 0.05. After ANOVA, a post hoc study (Tukey- Kramer) was carried out. For all studies, JMP version 6.0 (SAS Institute, Cary, NC) was used. Data is viewed as a means, and SEM is pooled.
8
Dopamine Exposure Effects on Social Behavior
9
Comparative Analysis of Parasite Samples
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Means and standard deviations were obtained for all measurements. A Levene test was used to verify homogeneity of variance. An ANOVA was carried out to test differences between variables, and mean values for each group were contrasted using Tukey's test. The exactness and precision of measurements for each character were also calculated. All analyses were done in SPSS version 8.0 (SPSS Inc., Chicago, IL, USA). To test significant differences among samples SMM98, SMM36 and SMM1 (from different areas), the mean and standard deviation of each sample were calculated. After this, samples were separated according to the two parasite forms analyzed, controlling for forms obtained on different days. The cluster analysis that generated the dendogram was based on normalized mean values obtained by Principal Components Analysis (PCA) of each sample, done in JMP version 6.0 (SAS Institute, Inc., Cary, NC, USA).
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