The distribution of the 75 compounds identified from the essential oil was checked by a descriptive statistical analysis using the SPSS software for Windows™ (version 17, SPSS Inc., Chicago, IL, USA). The percentages of compounds were transformed using the arcsine transformation in order to improve the distribution property. However, this transformation did not yield satisfactory results for 18 variables. Therefore, for compounds having skewed distributions, a non parametric one-way analysis of variance Kruskal-Wallis test (SPSS software, 17.0) was performed. The chemical population structure assessed by Linear Discriminant Analysis (LDA) and dendrogram analysis were performed as previously described (Zouari et al. [2012 (link)]). Duncan’s multiple range test (p < 0.05) was used to compare the averages of essential oil yields and the metal (Fe2+) chelating and the DPPH radical-scavenging activities among populations. Correlation and the covariance analysis between the MICs values of strains and the populations’ altitudes were performed using the SPSS software 17.0.
Spss software 17
Manufactured by IBM
Sourced in United States
SPSS software 17.0 is a comprehensive and integrated statistical analysis software package developed by IBM. It provides a wide range of statistical and data management capabilities, enabling users to analyze and interpret data effectively. The core function of SPSS software 17.0 is to offer advanced analytical tools for tasks such as data exploration, hypothesis testing, regression analysis, and multivariate techniques.
Automatically generated - may contain errors
Lab products found in correlation
Prism 6, by GraphPad (3 mentions)
Origin professional software, by OriginLab (2 mentions)
Version 16, by MedCalc (2 mentions)
Design expert software, by Stat-Ease (2 mentions)
Prism 5, by GraphPad (2 mentions)
Prism 8, by GraphPad (1 mentions)
Prism software, by GraphPad (1 mentions)
Design expert, by Stat-Ease (1 mentions)
Prism 7, by GraphPad (1 mentions)
Prism software 8, by GraphPad (1 mentions)
Spss software for window, by IBM (1 mentions)
157 protocols using spss software 17
1
Phytochemical Analysis and Bioactivities of Essential Oils
2
Statistical Analysis of Experimental Data
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The data were analyzed using GraphPad Prism software (GraphPad Software, San Diego, CA, USA) and SPSS software 17.0 (IBM, Armonk, NY, USA). The t test was used for statistical evaluation of the data, which are shown as mean ± standard error of the mean (SEM). Relationships between 2 sets of variables were determined by Spearman’s rank correlation coefficient, and comparisons among multiple groups were analyzed by one-way analysis of variance (ANOVA) followed by Tukey’s post hoc tests. P<0.05 was regarded as a statistically significant difference.
3
Follicular Survival and Embryo Formation
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Data of follicular survival, oocyte maturation, fertilization and two-cell embryo formation, and gene expression were analyzed by t test and two-way ANOVA respectively using SPSS software 17.0 (International Business Machines Corp, USA). Significance level was considered at P<0.05.
4
Abortion vs. Live Birth Comparison
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Quantitative data are shown as mean ± SD, and qualitative data are expressed as numbers (percentages). Independent samples t-tests were used to compare the quantitative data. The chi-square test and Fisher’s exact test were used to examine the differences in clinical features between the abortion group and live birth group. A P value <0.05 was considered statistically significant. SPSS software 17.0 (IBM Corporation, Armonk, NY, USA) was used for data analysis.
5
Statistical Analysis of Experimental Data
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For a better explanation, the experimental data of all the parameters were measured and subjected to statistical analysis. All data were accomplished in triplicate (n = 3) in number. The results were stated as the mean ± standard deviation, and the significance was analyzed by the analysis of variance (ANOVA) using Statistical Package for Social Sciences (SPSS) software 17.0 (IBM INC., New York).
6
Statistical Analysis of Experimental Data
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Statistical analysis was carried out by SPSS software 17.0 (IBM Inc., Chicago, IL, USA). After confirming normal distribution with skewness and kurtosis statistic test, independent sample t-test or one-way analysis of variance (ANOVA) followed by the Bonferroni post hoc test used to analyze differences among groups. All data were presented as mean ± standard deviation (SD). P < 0.05 was considered statistically significant.
7
Survival Analysis of Patient Cohorts
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Data analysis was conducted with SPSS Software 17.0 (IBM, New York, NY) and GraphPad Prism 6 (GraphPad Software, La Jolla, CA). All data are presented as mean ± standard deviation (SD) or median [interquartile range, IQR].
Descriptive statistics were performed to obtain patients’ baseline characteristics. Quantitative variables distribution was tested with Kolmogorov–Smirnov normality test. Parametric (Student’s t test with Welch’s correction) and nonparametric tests (Mann–Whitney U test) were applied to describe the differences between groups for the variables of interest as appropriate. Fisher’s exact test was performed for comparisons between categorical variables, and the results are presented as percentage, odds ratio (OR) and 95% confidence interval (CI). Kaplan–Meier 90-day survival curves with Tarone–Ware test for the comparison of the hazard ratio between groups were built for the survival analysis.
Binary logistic regression analysis was performed with a forward stepwise entry method. A p value of less than 0.05 was considered statistically significant.
Descriptive statistics were performed to obtain patients’ baseline characteristics. Quantitative variables distribution was tested with Kolmogorov–Smirnov normality test. Parametric (Student’s t test with Welch’s correction) and nonparametric tests (Mann–Whitney U test) were applied to describe the differences between groups for the variables of interest as appropriate. Fisher’s exact test was performed for comparisons between categorical variables, and the results are presented as percentage, odds ratio (OR) and 95% confidence interval (CI). Kaplan–Meier 90-day survival curves with Tarone–Ware test for the comparison of the hazard ratio between groups were built for the survival analysis.
Binary logistic regression analysis was performed with a forward stepwise entry method. A p value of less than 0.05 was considered statistically significant.
8
Statistical Analysis of Experimental Data
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SPSS software 17.0 (IBM Corp., Armonk, NY, USA) was used for statistical analysis. All quantitative data are presented as mean ± SD. All results were confirmed in at least three independent experiments and data from one representative experiment are presented.
9
Comparative Statistical Analysis of Groups
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Statistical analysis was conducted by SPSS software 17.0 (IBM, Inc., Armonk, NY, USA). After confirming normal distribution with the skewness and kurtosis statistic test, an independent sample t-test or one-way ANOVA followed by a least significant difference (LSD) post hoc test was used to analyze differences among groups. All data are expressed as mean ± standard deviation. P <0.05 was considered statistically significant.
10
Standardized Immunoassay Protocols
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All in vitro experiments were analyzed in triplicates. The IgM, IgG, NS1 detection, and cytokine expression level were analyzed as per the mentioned standardized protocols. The results of experiments were statistically analyzed using SPSS software 17.0 (IBM, India)and the values presented as mean ± SD where p < 0.05 was considered statistically significant.
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