Statistical analyses were performed using JMP 6 software (SAS Institute Inc., Cary, NC, USA). Results are expressed as the mean ± standard deviation. Statistical significance was assessed using analysis of variance (ANOVA), followed by Tukey-Kramer honestly significant difference test. Outcome variables were compared control and Ca-deficient groups using the student t test. The correlation between iCa and serum adiponectin, Glu-OC, serum leptin, and serum insulin; serum leptin and serum insulin; and serum leptin and iMg, respectively, were examined by linear regression and Spearman rank correlation coefficient analyses. Differences of p < 0.05 were considered statistically significant.
Jmp 6
Manufactured by SAS Institute
Sourced in United States
JMP 6.0 is a statistical discovery software designed for data analysis and visualization. It provides a comprehensive set of tools for exploring, modeling, and presenting data. JMP 6.0 offers a user-friendly interface and various analytical capabilities to support data-driven decision-making.
Automatically generated - may contain errors
23 protocols using jmp 6
1
Calcium Deficiency and Metabolic Markers
2
Pandemic Effects on School Exams
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Datasets were analyzed using JMP 6 software (SAS Institute Inc., Cary, NC, USA). A P-value of <0.05 was considered statistically significant. Continuous variables are expressed as means and standard errors of the mean, while categorical variables are expressed as percentages. The paired Student t-test was used to compare prepandemic 2018–2019 school examination data and postpandemic 2019–2020 school examination data.
3
Statistical Analysis of Dietary Effects
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Statistical analyses were performed using JMP 6 software (SAS Institute Inc., Cary, NC). Results are expressed as the means ± standard error (SE). Statistically significant differences among the groups were determined with two-way analysis of variance (ANOVA) with diet and sex as the main factors. If interactions were found, the data were split, and a one-way ANOVA was performed. A standard power calculation was performed on the results using JMP 6 software. Acceptable study power was agreed a priori to be ≥80% (type-I error of ≤0.20). P<0.05 was considered statistically significant.
4
Statistical Analysis of Lipid Binding
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Analyses were performed with Student's t test or JMP6 software (SAS Institute, Cary, NC) using one-way analysis of variance (ANOVA), followed by Dunnett's test to assess statistical significance between groups; *p < 0.05 or **p < 0.01 was considered statistically significant. The lipid-binding data were compared using two-way ANOVA with repeated measures for the four sets of measurements (Holm–Sidak multiple-comparisons test; Prism [GraphPad, La Jolla, CA] or SigmaPlot [Systat, San Jose, CA]).
5
Analyzing Cord Blood ADMA Levels
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Statistical analysis was performed with JMP 6 software (SAS Institute Inc., Cary, NC). Data are expressed as means ± SD. Comparisons between the groups were performed using Student's t test. Continuous data were compared using either the two-tailed t-test for independent samples or the Mann-Whitney U-test, as appropriate. The correlation between cord blood ADMA levels and birth size, IGF-1, and insulin were examined by linear regression and Pearson product-moment correlation coefficient analyses. Associations of ADMA with several variables were analyzed by univariate regression or non-linear logistic analysis. A value of p<0.05 was considered significant.
6
Dietary Impact on 13CO2 Excretion
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The results are reported as the mean ± SD unless otherwise indicated. The maximum values of 13CO2 excretion were compared between the two groups at each age using Student’s t-test. Two-way repeated-measures ANOVA was used to examine between-group differences in body weight and food intake. P < 0.05 was regarded as significant. All analyses were performed using the JMP 6 (SAS Institute Inc., NC, USA).
7
Statistical Analysis of Experimental Data
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Data were analyzed with two-way ANOVA, using the general linear model procedure adapted of Stat View 5.0 (SAS Institute Inc., Cary, NC) and JMP 6 (SAS Institute Inc., Cary, NC). All values are presented as means ± SEM and differences among means were tested according to the Tukey test. The differences were considered to be statistically significant at p < 0.05.
8
Pullout Strength Comparison Across Groups
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Pullout strengths in the three groups were compared using analysis of variance with the Tukey-Kramer post hoc t-test (JMP 6, SAS Institute Japan; Tokyo, Japan). In all comparisons, values of p<0.05 were considered statistically significant.
9
Steroidogenic Gene Expression Analysis
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All data are presented as means ± standard error of the mean, with n = 3 per experiment. Statistical analysis
was performed using StatView 5.0 (SAS Institute, Cary, NC, USA) and JMP 6 (SAS Institute). Due to the inherent variability in
steroid concentrations between different cell cultures, the results are presented as the percent inhibition across three separate
experiments, with the control set as 100%. The Shapiro-Wilk test was used to test for normal distribution of the data, and all the
parameters showed a normal distribution. Homogeneity of variance was examined by F-test. The significance of
differences in mRNA expression of LPS receptors was analyzed using the Student’s t-test (PRFs vs. POFs). For
analysis of the number of viable cells, steroid production and mRNA expression of steroidogenic enzymes, one-way analysis of
variance followed by the Tukey-Kramer test as a multiple comparison test was performed. All analyses were considered statistically
significant at P < 0.05.
was performed using StatView 5.0 (SAS Institute, Cary, NC, USA) and JMP 6 (SAS Institute). Due to the inherent variability in
steroid concentrations between different cell cultures, the results are presented as the percent inhibition across three separate
experiments, with the control set as 100%. The Shapiro-Wilk test was used to test for normal distribution of the data, and all the
parameters showed a normal distribution. Homogeneity of variance was examined by F-test. The significance of
differences in mRNA expression of LPS receptors was analyzed using the Student’s t-test (PRFs vs. POFs). For
analysis of the number of viable cells, steroid production and mRNA expression of steroidogenic enzymes, one-way analysis of
variance followed by the Tukey-Kramer test as a multiple comparison test was performed. All analyses were considered statistically
significant at P < 0.05.
10
Statistical Analysis of Group Differences
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