Sigmaplot 11
SigmaPlot 11.0 is a data analysis and graphing software. It is used for creating high-quality scientific and technical graphs and plots from data.
Lab products found in correlation
1 175 protocols using sigmaplot 11
Reproducible Biological Replicates Analysis
Comparative Analysis of Gene Expression
Gene Expression and Testosterone Regulation
Evaluating Supersaturation of ABZ Formulations
Supersaturation in duodenal compartment was evaluated by estimating the degree of supersaturation (DS):
DS > 1 indicates supersaturation, DS ¼ 1 indicates saturation, and DS < 1 indicates unsaturated solution.
A 1-sample t-test (Sigmaplot 11.0, Systat Software, Inc., San Jose, CA) was applied for evaluating whether a sample mean DS value comes from a population with mean of 1. Differences between solubility in human fluids and biorelevant media and between ABZ free base and ABZ sulfate were evaluated with an unpaired t-test (Sigmaplot 11.0, Systat Software, Inc., San Jose, CA). Type I error was set at 0.05, in all cases.
Adhesive Bond Strength and Penetration
Germination and Polyphenol Analysis of Genotypes
where a is the maximum value of germination observed for each genotype, x is the time after seed imbibition, expressed in hours, x 0 is the time (hours) to 50% seed germination, b is a fitting parameter of the curve. The x value on the curve, which corresponded to 50% germination, was assumed as theoretical time (t50) to 50% germination (Patanè et al. 2016) (link). The confidence intervals of t50 were calculated on the 95% confidence bands of the logistic curve (SIGMA-PLOT 11 software).
Cocaine Generalization and Response Rate Analysis
Potency data represent the mean ED50± 95% confidence intervals. ED50 values were considered statistically different in cases where the confidence intervals were nonoverlapping. SigmaPlot 11 software (Systat Software, San Jose, CA, USA) was used to generate figures, interpolate ED50 values, and conduct statistical analyses.
Statistical Analysis of Experimental Data
Cocaine Generalization and Response Rate Analysis
Survival Analysis Protocol for DNA-PKcs Mutant
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