Each experiment was performed in triplicate. All data are presented as the mean ± SD. Statistical analysis was performed using the SPSS 17.0 statistical package (SPSS, Inc., Chicago, IL, USA), and comparisons between groups were conducted using One Way ANOVA. Differences were considered statistically significant at p<0.05. Tumor free survival was calculated with log-rank (Mantel-Cox) test using GraphPad Prism 5 (GraphPad Software, Inc., San Diego, CA, USA).
Spss 17.0 statistical package
Manufactured by IBM
Sourced in United States
SPSS 17.0 is a statistical software package developed by IBM. It provides tools for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. The software is designed to help users analyze and interpret data, and make informed decisions based on the results.
Automatically generated - may contain errors
62 protocols using spss 17.0 statistical package
1
Tumor-free Survival Analysis Protocol
2
Statistical Analysis of Raman Spectra
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The normality of distribution was assessed by using Kolmogorov-Smirnov test. The differences between Raman spectra intensities were determined by one way analysis of variance (ANOVA) or Kruskal-Wallis' H-test, followed by Tukey's post-hoc analysis or Bonferroni corrected Mann-Whitney U test, where appropriate. The level of significance was set at P = 0.05. For Bonferroni corrected Mann-Whitney U test we used a stricter probability value (less than 0.017). Statistical analysis was performed using the SPSS 17.0 statistical package (SPSS, Chicago, IL, USA).
3
Comprehensive Statistical Analysis of Data
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Continuous variables are expressed as the median, 25th percentile and 75th percentile, and the Mann-Whitney U test was used to compare continuous variables. Numbers and percentages were used to describe the distribution of categorical variables. Chi-squared and Fisher’s exact tests were used to compare categorical variables. Survival was analyzed with the Kaplan-Meier actuarial curve method with the log-rank test and the Cox regression hazard model. All tests were two-sided, and p <0.05 was considered significant. All analyses were performed using the SPSS 17.0statistical package (SPSS Inc., Chicago, IL, USA).
4
Analyzing Plant Physiological Responses
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Kolmogorov–Smirnov and Cochran tests were used to test for the normality of data and homogeneity of variances, respectively. The t-student test was used for the calculation of differences between the NPQ (%) and Fv/Fm (%). One-way ANOVA and Kruskal-Wallis tests were applied to check for differences in pigments and LMWCs in normal and non-normal data, respectively. Duncan and Dunnett post hoc tests were performed to discriminate changes in pigment content throughout the treatment in each species. In the case of non-normal data, Mann-Whitney U non-parametric tests were carried out. All analyses were performed using the SPSS 17.0 statistical package (SPSS, Armonk, NY, USA).
5
ADHD cis-eQTL Analysis of miR-34 Family
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The cis-eQTL analyses were assessed in the subset of 31 ADHD subjects from which genotype data for rs4938723 and rs28690953 and expression levels of miR-34b-3p, miR-34b-5p, miR-34c-3p and miR-34c-5p were available. Linear regression models were used for eQTL mapping with the SPSS 17.0 Statistical Package (SPSS). All the statistical tests were two-sided and the significance threshold was set at P<0.05.
6
Altitude Acclimatization Biomarker Assessment
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Data are given as mean ± SE or %, unless indicated otherwise. All variables except LLS were normally distributed (Kolmogorov–Smirnov test). Statistical differences were tested by analysis of variance (ANOVA) of repeated measures in the follow-up CIH group or by Student's t-test, except for not normally distributed variables, for which the Wilcoxon test was used. The chi-square test was used for the observation of proportional differences for independent samples, and the McNemar test was used for related samples. Pearson's correlation analyses were performed between quantitative variables. A combined variable “Poorly Acclimatized” was created for subjects who had altitude outcomes, AMS presence, plus SaO2 <89% at month 3. Subsequently, a receiver operating characteristic (ROC) curve analysis was performed to test the ability of ADMA to discriminate and correctly classify, by the area under the curve (AUC), those poorly acclimatized, with its confidence intervals and sensitivity and specificity. A significance level was established at p < 0.05. Data were analyzed by using the SPSS 17.0 statistical package (SPSS, Inc.®, Chicago, IL).
7
Estrogen Receptor and Substance P Quantification
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Data from ERα, ERβ and Substance P immunohistochemistry scores in the IVD tissue were normally distributed as tested by Kruskal-Wallis (H) test. Quantitative data regarding HSCORE analysis are presented as mean ± SD. The correlations between changes of ERα, ERβ, ERα/ERβ and Substance P were assessed by means of Pearson's correlation coefficient test. A P value of < 0.05 was considered statistically significant. Statistical analysis was performed using the SPSS 17.0 statistical package (SPSS Inc., USA).
8
Macroscopic and Immunohistochemical Analysis
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Results are expressed as the means or numbers. The differences in the macroscopic scores between the four groups were analyzed using the SPSS17.0 statistical package. In the immunohistochemical scores, the means and the standard deviations of the mean for the staining signal were computed for each group based on the individual means for each animal (using the SPSS17.0 statistical package). The Student-Newman-Keuls test was used to compare any two of several samples. A P-value < 0.05 was considered statistically significant.
9
Statistical Analysis of Experimental Data
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SPSS 17.0 statistical package was used for the analysis. All data were expressed as the mean ± SD. Statistical analysis was performed using the two-tailed Student’s t-test. A value of p < 0.05 was considered statistically significant.
10
Myocardial Infarction Inflammatory Responses
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All data were expressed as mean ± standard error mean (SEM), and SPSS 17.0 statistical package was employed for statistical analysis. The size of risk and infarct areas, levels of IL-6 and TNF-α and the expressions of HMGB1, TLR-4, MyD88 and NF-κB were analyzed using one-way analysis of variance (ANOVA) followed by Tukey’s test. P < 0.05 was considered statistically significant.
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