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Sigmaplot for windows version 12

Manufactured by Grafiti LLC
Sourced in United States, Germany

SigmaPlot for Windows version 12.0 is a data analysis and graphing software package. It is designed to create high-quality graphs and plots from user-inputted data. The software provides a range of graphing and analysis tools to visualize and interpret data.

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57 protocols using sigmaplot for windows version 12

1

Analysis of Benzoxazinoid Levels

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Total BX levels were calculated as the sum of the seven major BX glucosides DHBOA-Glc, DIBOA-Glc, HMBOA-Glc, DIMBOA-Glc, DIM2BOA-Glc, HDMBOA-Glc and HDM2BOA-Glc. Statistically significant effects of growth stage and leaf position on foliar BX and maysin levels as well as leaf toughness were determined for each plant line separately by two-way analyses of variance (ANOVAs). Total BX levels in the first experiment were further analysed by three-way ANOVA in which domestication status, leaf type and growth stage were used as factors. In the second experiment BX levels were compared for each growth stage separately aiming to detect statistically significant effects of plant genotype and leaf position: for growth stage L2 a one-way ANOVA was carried out as only one leaf was sampled at this growth stage, whereas for growth stages L4 and L6 two-way ANOVAs were performed using plant genotype and leaf position as factors. All data were checked for normal distribution and homoscedasticity. If assumptions were not met, data were either log-transformed or ranked prior to ANOVA. When significant effects were indicated Holm-Sidak was used as post-hoc test. All statistical analyses were done in SigmaPlot for Windows, Version 12.5 (Systat Software, San Jose, CA, USA).
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2

Comparative Analyses of PET, EBD, and AR

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Descriptive statistics are provided as mean and SD. One-way ANOVAs with all pairwise multiple-comparison procedures (Holm-Sidak method) were performed for PET data, EBD evaluations, and AR to detect differences among the treatments without correction for multiple testing. P values of less than or equal to 0.05 were considered significant. Statistical analysis was performed using SigmaPlot for Windows version 12.5 (Systat Software, Inc.).
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3

Statistical Analysis of Research Data

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Data are expressed as either mean or median. Statistical significance was set at the level of < 0.05. Comparisons between two groups were assessed with either a Student's t‐test or a nonparametric Wilcoxon test for continuous variables. Chi‐square test was used for nominal variables. Nonparametric Spearman rank correlation analysis was used to determine associations between variables. Age‐ and sex‐adjusted multivariable regression analysis was performed. Statistical analyses were performed using statistical software sigmaplot for Windows version 12.5 (Systat Software, San Jose, CA, USA).
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4

Statistical Analysis of Animal Data

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Statistical analysis was performed using SigmaPlot for Windows Version 12.5 (Systat Software, San Jose CA). Data are represented as means ± SEM of n = 4–10 animals for each group. For multiple group analysis at a single time point, one-way analysis of variance (ANOVA) with Student-Newman-Keuls correction was used. For multiple group analysis at different time points, a two-way ANOVA with Student-Newman-Keuls correction was performed. If data failed to follow a normal distribution, a Mann-Whitney Rank Sum test or an ANOVA on ranks test was performed. P values less than 0.05 were considered significant.
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5

Statistical Analysis of Animal Data

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Statistical analysis was performed using SigmaPlot for Windows Version 12.5 (Systat Software, San Jose CA). Data are represented as means ± SD or SEM of n = 3–12 animals for each age and gender group. For multiple group analysis at a single time point, one-way analysis of variance (ANOVA) with Student-Newman-Keuls correction was used. For multiple group analysis at different time points, a two-way ANOVA with Student-Newman-Keuls correction was performed. If data failed to follow a normal distribution, a Mann-Whitney Rank Sum test or an ANOVA on ranks test was performed. Survival rate was analyzed using Kaplan-Meier or Fischer’s exact test. P values less than 0.05 were considered significant.
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6

Comprehensive Respiratory Infection Analysis

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Results for all BAL parameters, cellular phenotype, morphometry and bacterial clearance were expressed as mean fold change from control calculated as X¯ control X¯ and a one way analysis of variance (ANOVA) was performed between all treatments groups at each time point. Significant differences among groups were determined using the Student–Newman–Keuls post hoc test. Data were analyzed using SigmaPlot for Windows Version 12.5 (Systat Software, Inc.;Ekrath, Germany). For all analyses, significance was set at p < .05. Because data from histopathology studies are inherently categorical, nonparametric analysis of variance was assessed using SAS/STAT software, Version 9.1, of the SAS System for Windows statistical programs (SAS Institute, Inc.; Cary, NC). In this instance, groups were compared using the Wilcoxon rank sum test.
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7

Statistical Analysis of Cancer Hospitalization

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Statistical analysis of the data was performed using SigmaPlot for Windows version 12.5 (Systat Software Inc., San Jose, CA, USA). Numerical data are presented as numbers and percentage (in parentheses) or as mean and standard deviation (SD). The continuous data comparing two groups of patients were analyzed using an unpaired two-tailed Student’s t-test or by a Mann-Whitney rank sum test where appropriate. The categorical data were analyzed using the χ2 test. The likelihood of hospitalization due to cancer among different populations was estimated using odds ratios (OR) and 95% confidence intervals (CI) in univariate and in multiple logistic regression models. A p-value < 0.05 was considered statistically significant.
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8

Statistical Analysis of Experimental Data

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Statistical analysis was performed using SigmaPlot for Windows Version 12.5 (Systat Software, San Jose CA). Data are represented as means ± SD or SEM, or as medians with interquartile range of n = 3–16 animals for each group. For multiple group analysis at a single time point, one-way analysis of variance (ANOVA) with Student-Newman-Keuls correction was used. For multiple group analysis at different time points, a two-way ANOVA with Student-Newman-Keuls correction was performed. If data failed to follow a normal distribution, a Mann-Whitney Rank Sum test or an ANOVA on ranks test was performed. P values less than 0.05 were considered significant.
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9

Knockdown of 3βHSD1 in Astrocytes

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A combination of four siRNAs (gene accession NM_008293; FlexiTube siRNA #SI01070811, SI01070818, SI01070825, and SI01070832; Qiagen, Valencia, CA) with Lipofectimine RNAiMAX (#13778150; Life Technologies) was used to knock down 3βHSD1, according to the manufacturer’s protocol with OptiMEM reduced serum media (#31985070; Life Technologies). Optimal siRNA concentrations were determined in pilot experiments (Fig. 3B, C). For subsequent experiments, siRNA was added (75 pmol or 33 nM per well of 6-well plate, equivalent to 18.75 pmol or 8.3 nM of each of the four siRNAs). Because estradiol can induce 3βHSD1 and steroidogenic activity [35 (link),36 (link)] the cells were treated with E2 to maximize any potential 3βHSD1 activity. Briefly, 72 hours after the start of transfection, astrocytes were steroid-starved and treated with 1 nM E2 for 4 hours. Media was then collected and immediately used in conditioned media experiments or kept at −20°C until use.
Groups were analyzed using SigmaPlot for Windows version 12.5 (Systat Software, Inc., San Jose, CA). Where appropriate, Student-Newman-Keuls (SNK) post hoc tests were used (significance set to 0.05).
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10

Statistical Analysis of Experimental Data

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All curve-fitting was performed using SigmaPlot for Windows Version 12.5 (Systat Software Inc., Chicago, IL, USA). The general linear model (GLM), analysis of covariance (ANCOVA), and Tukey’s test 95% confidence grouping analyses were performed in Minitab 16 statistical software (Minitab Inc., State College, PA, USA). Pearson’s correlation analysis was performed in Minitab 16 statistical software (Minitab Inc.).
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