The results were evaluated using the Kruskal–Wallis test. Statistical significance was accepted at p-value < 0.05. Data are presented as mean values ± SD. The statistical analysis was performed using STATISTICA 12 PL software (Stat Soft, Poland).
Statistica 12 pl software
Manufactured by StatSoft
Sourced in Poland, United States
Statistica 12 PL software is a data analysis and statistical modeling tool developed by StatSoft. It provides a comprehensive set of features for data management, visualization, and advanced statistical analysis. The software is designed to handle a wide range of data types and can be used for various applications, including scientific research, business analytics, and data-driven decision-making.
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Lab products found in correlation
12 protocols using statistica 12 pl software
1
Statistical Analysis of Experimental Results
2
Relationship between Lumbar Asymmetry and LBP
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The basic parameters (age, weight, height, body mass index (BMI), and sports practice) between LBP and no-LBP participants were assessed with the use of a t test for independent samples. To assess the relationship between LAM and LBP's incidence, the binary (1–LBP present; 0–LBP absent) logistic regression was used. For the established logistic models, to assess fitting, the Hosmer–Lemeshow test was used. For significant variables, the odds ratio (OR) was also presented. To assess the correlation between the significant variables and the week of LBP experience in the LBP group, Spearman's rank test was used. All statistical analyses were performed with the use of Statistica 12 PL software (StatSoft Inc., Tulsa, OK, USA), and for all tests, p < 0.05 was considered significant.
3
Comparative Statistical Analysis of Groups
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Categorical variables or categorized continuous variables were expressed as counts and percentages. In order to compare the two groups, the two-sided Mann–Whitney U-test and ANOVA tests were applied. To compare matched samples, the Wilcoxon signed-rank test was used. A p-value less than 0.05 was considered an indication of a statistically significant result. All statistical analyses were performed using the Statistica 12 PL software. (StatSoft Cracow, Poland).
4
Statistical Analysis of Experimental Data
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The results were expressed as the means ± standard deviation (SD) for replicate determinations. The statistical analyses (calculation of SD, one-way analysis of variance, HSD Tukey tests, and linearity studies) were performed using Statistica12Pl software for Windows (StatSoft Inc., Krakow, Poland), with p < 0.05 regarded as significant.
5
Statistical Analysis of Triplicate Experiments
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The results were expressed as means ± standard deviation (SD) of triplicate determinations. The statistical analyses (calculation of SD, one-way analysis of variance, HSD Tukey tests, linearity studies and hierarchical cluster analysis) were performed using the Statistica12Pl software for Windows (StatSoft Inc., Krakow, Poland), with p values less than 0.05 being regarded as significant.
6
Senescence and Jasmonate in Ginkgo
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One-way analysis of variance (ANOVA) and Tukey’s post hoc test were used to check the significance of differences in the petiole and leaf blade of G. biloba. Comparisons were made between natural senescence and JA-Me treatment separately. Calculations were performed using Statistica 12PL software (StatSoft, Tulsa, OK, USA). Means ± SD followed by the same letter were considered statistically insignificant at p > 0.05 (post hoc Tukey’s test).
7
Factors Predicting Vaccine Immunity Loss
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Statistica 12 PL software (StatSoft, Krakow, Poland) was used for data analysis. Results were expressed as a geometric mean titer with two sided 95% Confidence Interval (CI). ANOVA Kruskal-Wallis, followed by a Dunn post-hoc test were used for multiple comparison of titer in age groups. To confirm the homogeneity of compared groups depending on the time since the last dose of vaccine Chi square test has been used and then for the same groups, a Chi-squared test for trend was used to confirm a linear trend for an increasing number of seronegative cases across the time since last vaccination. To determine the predictors for a lack of vaccine-induced immunity, logistic and Cox regression analyses were used and a p value of <0.05 was considered to be significant.
8
Statistical Analysis of Experimental Data
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The data were compared using the Kruskal–Wallis test. Statistical significance was accepted at a p-value < 0.05. Data are presented as mean values ± SD. For statistical analysis the STATISTICA 12 PL software was used (Stat Soft, Poland).
9
Statistical Analysis of Categorical Data
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Categorical variables or categorized continuous variables were expressed as counts and percentages. In order to compare the two groups, the two-sided Mann–Whitney U-test and ANOVA tests were applied. To compare matched samples, the Wilcoxon signed-rank test was used. A p-value less than 0.05 was considered an indication of a statistically significant result. All statistical analyses were performed using the Statistica 12 PL software. (StatSoft Cracow, Poland).
10
Comparative Solvent Extraction Analysis
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The results are presented as arithmetic means ±standard deviations (SD). The statistical analysis of the results was carried out using a one-way analysis of ANOVA, with the significance level p < 0.05. Differences between the used solvents were determined by Tukey's test (n = 3). The significance of differences between the extraction methods was evaluated with the Wilcoxon test (α < 0.05). Pearson's linear correlation between the results obtained by individual methods was also determined. All calculations were done using Statistica 12PL software (StatSoft).
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