All the data were represented as mean ± standard error and IBM Statistics 20 was used for all the statistical analysis in this study. One-way ANOVA was conducted to understand differences based on each treatment, and a post hoc test was conducted with Fisher’s LSD for the variables that showed a significant difference. The significance was accepted at the level of p<0.05.
Statistics 20
Manufactured by IBM
Sourced in United States
Statistics 20.0 is a comprehensive software package designed for statistical data analysis. It provides a wide range of statistical tools and techniques for data management, visualization, and inference. The software supports common statistical methods such as regression analysis, hypothesis testing, and multivariate analysis. Statistics 20.0 is suitable for academic and research applications across various disciplines.
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76 protocols using statistics 20
1
Evaluating Treatment Efficacy via ANOVA
2
Litter Effects on Developmental Outcomes
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All analyses were performed with IBM Statistics 20 (formerly Statistical Package for the Social Sciences, SPSS). As pups within a litter are not independent samples, the effects associated with belonging to a litter and being raised in a litter must be accounted for. To do this, linear mixed models were used for each of the dependent variables, with Litter used as a subject variable. Fixed factors in all models were: Sex, Prenatal drug, Postnatal drug, with litter size used as a covariate. For body weight, negative geotaxis, and eye opening, Day was also included as a factor. LSD post-hocs were performed. Significance was set to α = 0.05.
3
Blinded Randomized Electroacupuncture Study
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Eligible subjects were randomized into the ipsilateral and contralateral electroacupuncture group in a 1:1, which was performed using predictive analytics software Statistics 20 (International Business Machines Corporation, Beijing, China). For each group, half of the subjects were firstly received the verum electroacupuncture (VA) at the acupoint LI4 and then PA treatment counter-balanced at an interval of one week, while the other half of subjects were conducted the opposite sequence VA and PA. The presentation sequence of these two treatments was randomized throughout the population. In order to facilitate blinding, several procedures had also been performed: (i) all participants were not informed of the order in which the VA and PA runs would be performed; (ii) they were also instructed to keep their eyes closed to prevent from actually observing the procedures; (iii) to validate the blinding of our study, the subjects were also asked to the question “Did you think the treatment you just had was real?” at the end of experiment.
4
Statistical Analysis of Protein Expression
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The obtained data were analyzed using SPSS version 20 (SPSS, IBM Statistics 20). To analyze the statistical significance in two or more comparisons, the dependent t-test was used. Western blotting image data were compared using 1-way analyses of variance (ANOVA). In all analyses, the statistical significance (P<0.05) was determined by ANOVA followed by Tukey’s post hoc test.
5
Statistical Analysis of Experimental Replicates
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Each experiment was repeated for three times at least. SPSS Statistics 20 software was applied for analysis. Student’s t test and one-way analysis of variance (ANOVA) were used for comparison between two groups and more than two groups, respectively.
6
Demographic Comparison of Research Campaigns
7
Comparison of TOF and non-TOF Reconstruction
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The statistical analysis was done using the SPSS Statistics-20 software. The paired t-test was used to test the differences in the manual and computer-based quantitative parameters such as SNR and CRC/BV between TOF and non-TOF reconstruction algorithms. A statistically significant difference was considered at P ≤ 0.05.
8
Comparative Biomolecular Assay Protocol
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The data is expressed as mean ± SD for at least three replicates. All comparisons were made by one-way ANOVA with Tukey’s -HSD-post-hoc test using SPSS Statistics 20 software. All significant differences are reported at p < 0.05 and indicated by “*”.
9
Statistical Analysis of Experimental Data
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Results were presented as mean ± standard error (SE). Data analysis was performed using SPSS Statistics 20 package software. The statistical significance between two groups was determined using Student’s -t test. Differences between more than two groups were assessed using one-way ANOVA followed by Tukey’s test. Significance was stablished when P < 0.05.
10
Flavor Preference and Aversion in Rats
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Values were expressed as means ± SEM, and statistical analyses were performed using SPSS Statistics 20. A three-way repeated-measures ANOVA (group × trials × fluid) was used to analyze the mean intakes of flavours during the four acquisition trials and preference tests. Two-way repeated-measures ANOVA (group × fluid) was used to analyze the mean intakes in the aversion test, and two-way repeated-measures ANOVA (group × day) to analyze the effects of treatment on the body weight. Separate one-way repeated-measures ANOVA evaluated mean intakes during the two-bottle tests (CS+ vs. CS−) in lesioned and sham-lesioned groups. When a significant F was obtained, Newman-Keuls post hoc tests were performed to assess specific comparisons. Statistical significance was determined at the 5% level.
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