The experiments were conducted in triplicate unless mentioned otherwise. The obtained results were subjected to statistical analysis using Statistica 12.0 program (StatSoft, Cracow, Poland). One-way analysis of variance (ANOVA) was performed, and Tukey’s test was utilized to compare the average values at a significance level of α = 0.05.
Statistica 12.0 program
Manufactured by StatSoft
Sourced in United States
Statistica 12.0 is a comprehensive data analysis software program developed by StatSoft. The program provides a range of statistical and data mining tools for data processing, visualization, and analysis. Key features include data management, descriptive statistics, inferential statistics, and predictive modeling capabilities.
Automatically generated - may contain errors
Lab products found in correlation
5 protocols using statistica 12.0 program
1
Triplicates Statistical Analysis Protocol
2
Standardized Plastic Hardness Measurement
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The hardness was examined according to ISO 868:2003 standard using a Shore durometer with scale D which is appropriate for the measurement of semi-rigid and hard plastics materials. The hardened steel rod configured as a needle pin (30° cone) under an applied force penetrates into the material and the depth of penetration is measured on a scale of 0 to 100. A given force of 44.64 N was applied in a consistent manner for a required period of time (15 s). All measurements were performed at room temperature. Examination was performed on 30 samples for each group of material. The data were evaluated for normal distribution using two independent assays, the Kolmogorov-Smirnov and Shapiro-Wilk tests. Then after checking the homogeneity of variance (Brown-Forsythe and Levene assays) one of the tests: t-Student for independent samples (1) or Cochran Cox with separate variance estimate test (2) was performed. The level of significance was established at a p-value = 0.05. All data were computed using the Statistica 12.0 program (StatSoft Inc., Tulsa, OK, USA).
3
Statistical Analysis of Research Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis of data was made using the MSExcel 2013 and Statistica 12.0program (StatSoft Inc., Tulsa, OK, USA). All analytical measurements were repeated in three repetitions for each sample and reference compounds. The obtained results were expressed as mean values ± SD. The significance of differences of the obtained results was determined at α < 0.05 with Duncan’s test to evaluate the homogenous groups.
4
Statistical Analyses of Biomarkers and Survival Rates
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analyses were performed using SPSS for Windows 15.0 (SPSS Inc., Chicago, IL, USA) and Statistica 12.0 program (Stat Soft, Inc., Tulsa, OK, USA). The descriptive statistics are presented by their main characteristics: m—mean value, Me—median, SD—standard deviation, 25% ÷ 75%—quartiles, and Minimum-Maximum. Kolmogorov-Smirnov and Shapiro-Wilk tests were used to check the hypothesis that the distribution of samples was not normal. We used Spearman correlation coefficient (r), a non-parametric analytical method. Comparisons between the groups were performed using the Chi-square (χ2) test for categorical variables. The areas under the receiver operating characteristic curve (AUC) were used to evaluate the ability of the biomarkers, RL, and SI scale to discriminate survivors from non-survivors. The ratio of the AUC and diagnostic significance intervals were evaluated as: 0.9–1.0—“excellent”, 0.8–0.9—“very good”, 0.7–0.8—“good”, 0.6–0.7—“medium”, 0.5–0.6—“unsatisfactory” [19 (link)]. Differences in AUCs were determined using the Medcalc for Windows 12.2.1.0 (MedCalc Software Ltd., West-Vlaanderen, Belgium). All of the results were considered statistically significant if the p-value was <0.05. The diagrams were created using Microsoft Office Excel 2007.
5
Statistical Analysis of Experimental Results
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The results obtained, expressed in fresh weight, were statistically analyzed using one-way analysis of variance (ANOVA) on the basis of the Snedecor F and Student's t-tests. The least significant difference (LSD) was calculated at the probability level of p < 0.05. Statistica 12.0 program was applied (StatSoft; US).
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!