All values are presented as mean (± standard deviation, SD). One‐way analysis of variance (ANOVA), with the post hoc Tukey test as the multiple pairwise comparison test, was used to determine any significant differences (p < .05) in pollen viability, pollen export, pollen deposition, seed set ratio, visiting frequency, and bending rate under different treatments. Variation in herkogamy traits among plants was tested by means of general linear models (GLMs). Pearson correlations between pistil and stamen lengths, herkogamy values, stigma–anther displacement, and gynophore–stamen angle were calculated for the flowers measured in the field. The SPSS 22.0 statistical software package was used to calculate and analyze the comparative test results. All graphs were constructed using Origin 9.1 software (OriginLab, Northampton, MA, USA).
Spss 22.0 statistical software package
Manufactured by IBM
Sourced in United States
SPSS 22.0 is a statistical software package developed by IBM. It provides advanced analytical capabilities for data analysis, including descriptive statistics, regression analysis, and hypothesis testing. The software is designed to help users gain insights from their data and make informed decisions.
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Lab products found in correlation
26 protocols using spss 22.0 statistical software package
1
Pollen Viability and Reproductive Success
2
Evaluating Lower Limb Muscle Responses to BFR Training
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Two-way analysis of variance (ANOVA; operation period × intermittent method) and the Mauchly sphericity test were used to evaluate the lower limb muscle groups’ RMS and median frequency (MF) values during the weight-bearing squat in the pre-1, pre-2, post-1, and post-2 periods. If the test P-value was > 0.05, the sphericity test was not satisfied, and the test result of the one-way ANOVA prevailed. If the test P-value was < 0.05, the sphericity test could be satisfied, and two-way ANOVA test results were used. Using the Bonferroni method, multiple comparisons were made between the four operation periods before and after BFR training to test for significant between-condition differences. The RMSMVC was evaluated before and after implementing the two training programs of continuous BFR interval and deflation interval by repeated measurement two-factor analysis (time × interval method). All statistical calculations were computed using the SPSS22.0 statistical software package (SPSS Inc., Chicago, IL) and a significance level of p < 0.05 was used.
3
Statistical Analysis of Postoperative Outcomes
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The continuous variables were described as the mean ± standard deviation (SD) and compared using one-way analysis of variance (ANOVA) for the normally distributed data. For skewed distributions, the data are presented as the median (interquartile range) and compared using the nonparametric Kruskal–Wallis and Mann–Whitney U-tests. The categorical variables were described as percentages and compared using the Pearson's Chi-squared and Fisher's exact tests. Multivariate logistic regression analysis was performed to analyze potential determinants of the occurrence of postoperative complications. All analyses were performed using SPSS 22.0 statistical software package (SPSS Inc., Chicago, IL, USA). A two-tailed value of P < 0.05 was considered statistically significant.
4
Statistical Analysis Methods Guidance
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Data were expressed as absolute numbers (percentage) or as median values (25-75 interquartile range (IQR). Categorical variables were compared using the chi-square test or Fisher’s exact test. The Mann-Whitney U test or ANOVA was used to compare quantitative variables from two independent groups. For comparison of the three or more independent groups, Kruskal-Wallis test was used. Friedman’ or Wilcoxon’s rank tests were used to perform paired analysis of variables. The association between quantitative variables was analyzed using the Spearman correlation test. A two-tailed p value of <0.05 was considered to be significant. SPSS 22.0 statistical software package (SPSS Inc., Chicago, IL, USA) was used to perform statistical analysis.
5
Grayscale Image Analysis Protocol
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Results are presented as arithmetic mean ± standard error. Each experiment was repeated at least three times. The SPSS 22.0 statistical software package (Chicago) was used to perform ANOVA of all data. Histograms were prepared with GraphPad Prism 6.0 software (San Diego, CA). Grayscale value was analyzed by ImageJ software (National Institutes of Health, USA).
6
Statistical Analysis Methodology
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Data were expressed as absolute numbers (percentage) or as median values [25–75 interquartile range (IQR)]. Categorical variables were compared using the chi-square test or Fisher’s exact test. The Mann–Whitney U test or ANOVA was used to compare quantitative variables from two independent groups. For comparison of three or more independent groups, Kruskal-Wallis test was used. Friedman’s or Wilcoxon’s rank tests were used to perform paired analysis of variables. The association between quantitative variables was analyzed using the Spearman correlation test. A two-tailed p value of <0.05 was considered to be significant. SPSS 22.0 statistical software package (SPSS Inc., Chicago, IL, United States) was used to perform statistical analysis.
7
Statistical Analysis of Position Factors
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Statistical analysis was carried out using the SPSS 22.0 statistical software package (SPSS Inc, Chicago, IL, USA). A descriptive analysis of the quantitative and qualitative variables was performed, calculating the means, standard deviations, ranges, and frequencies. The chi-squared test was applied to determine the influence of the position variable. Pearson’s correlation coefficient was used to determine whether there was a relation between the position and the other parameters. The statistical significance was established as p < 0.05 in all the statistical tests.
8
Correlation of Clinical and Biological Variables in Leukemia
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For the correlation of clinical and biological variables, we used the χ2 and the Fisher's exact tests for categorical variables and the Student's t-test or the Mann–Whitney U-test for non-parametric tests. The Spearman non-parametric test was used to determine correlations among mRNA expression values of the analyzed genes. In addition, a Kruskal–Wallis test was used to compare the gene expression levels of FLT3 and NT among the different ALL subgroups. As we selected certain subtypes of leukemia according to their expected FLT3 expression and also the total number of primary cases is low, we did not perform survival analysis in our study. All p values were considered significant when < 0.05. All the statistical analyses were performed using the SPSS 22.0 statistical software package (SPSS Inc., Chicago, IL, USA).
9
Prognostic Significance of RHCG Expression
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Continuous data are presented as mean ± SD. Statistical differences were measured using an unpaired two-sided Student’s t-test or one-way ANOVA for multiple comparisons when appropriate. Fisher’s exact test was used to analyze the association of RHCG expression with clinicopathologic parameters. Univariable and multivariable Cox proportional hazard regression models were used to analyze independent prognostic factors. All experimental statistical analyses were carried out using SPSS 22.0 statistical software package (SPSS Inc, Chicago, IL, USA). Statistical significance was set at a two-sided alpha level of 0.05. Graphs of biological experiments were drawn using GraphPad Prism 7 (GraphPad Software Inc, La Jolla, CA, USA).
10
Evaluating HH and HHS Impacts on Variables
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All data were presented as mean ± standard deviation (SD). The normal distribution of data was examined by the Shapiro–Wilk test. Repeated measurement of ANOVA (HH * HHS wearing experience) was conducted to detect the effects of HH and HHS wearing experience on each variable. Simple main effect analysis was used for post hoc comparisons. Significance was set at an alpha level of p = 0.05. Partial eta-squared (η2) effect size, 95% confidence interval (CI), and F-statistic were reported. Statistical analysis was performed using SPSS 22.0 statistical software package (SPSS Inc., Chicago, USA).
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