Analysis of variance (ANOVA) for the GI values of 326 winter wheat cultivars over three years was performed using the PROC GLM program in the Statistical Product and Service Solutions (SPSS) software 22.0 (International Business Machines Corporation, Armonk, New York, USA) [34 (link)]. Phenotypic comparison between white-grained and red-grained wheats, and differences of PHS resistance between contrasting alleles of each gene were determined by the t-test in SPSS software 22.0. Multiple comparisons (PROC GLM) for the GI values of wheat cultivars from different wheat zones or provinces and phenotypic differences among haplotypes or allelic combinations (ACs) were performed using Tukey–Kramer at P < 0.05 in SPSS software 22. The broad-sense heritability (h2) and correlation coefficients between years were estimated according to the method described by Li et al. [35 (link)].
Spss software 22
Manufactured by IBM
Sourced in United States
SPSS Statistics 22.0 is a software package used for statistical analysis. It provides a wide range of data manipulation, visualization, and analysis tools. The software is designed to help users explore data, test hypotheses, and make informed decisions.
Automatically generated - may contain errors
Lab products found in correlation
Prism 8, by GraphPad (12 mentions)
Prism 5, by GraphPad (8 mentions)
Prism 6, by GraphPad (5 mentions)
Prism 9, by GraphPad (3 mentions)
Prism 7, by GraphPad (2 mentions)
R software, by R Project for Statistical Computing (2 mentions)
Usp dissolution tester apparatus 2, by Pharma Test (1 mentions)
Nibp200a, by Biopac (1 mentions)
Design expert 12, by Stat-Ease (1 mentions)
Statistical package for the social science, by IBM (1 mentions)
Version 16, by MedCalc (1 mentions)
Prism software 8, by IBM (1 mentions)
Prism version 8, by GraphPad (1 mentions)
Originpro 8 sr4, by OriginLab (1 mentions)
R version 4, by R Project for Statistical Computing (1 mentions)
Taqman gtxpress master mix, by Thermo Fisher Scientific (1 mentions)
Sigmaplot software 11, by IBM (1 mentions)
R software, by GraphPad (1 mentions)
Pdquest 2 d analysis software, by Bio-Rad (1 mentions)
239 protocols using spss software 22
1
Wheat Cultivar Analysis with ANOVA
2
Statistical Analysis of Circulating RNAs
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Data were statistically described in terms of mean ± standard deviation, medians (quartiles) or proportions when appropriate. All experimental data were analyzed using SPSS software 22.0 (IBM, USA) and GraphPad Prism 8.0 (GraphPad Software, CA). Student’s t test and Mann–Whitney’s U test were employed to compare normally distributed parameters and those with skewed distribution, the Pearson method or the nonparametric Spearman method was used for correlation analysis, and logistic regression analysis was used, as appropriate. Receiver operating characteristic (ROC) curves were performed to evaluate the diagnostic value of circRNA. The area under curve (AUC) was calculated with SPSS software 22.0. P < 0.05 was considered to be statistically significant.
3
Statistical Analysis of Experimental Data
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All
data were analyzed using SPSS software
22.0 (SPSS Inc., Chicago, USA) and expressed as the mean ± SD.
Statistical evaluations were performed with analysis of variance (ANOVA).
Student–Newman–Keuls tests were used to compare different
groups after ANOVA. A p value less than 0.05 was
considered to be statistically significant.
data were analyzed using SPSS software
22.0 (SPSS Inc., Chicago, USA) and expressed as the mean ± SD.
Statistical evaluations were performed with analysis of variance (ANOVA).
Student–Newman–Keuls tests were used to compare different
groups after ANOVA. A p value less than 0.05 was
considered to be statistically significant.
4
Statistical Analysis of Experimental Data
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All of the data were analyzed using SPSS software 22.0 (SPSS Inc., Chicago, IL, USA). The quantitative data were recorded as mean ± standard deviation and analyzed using the t test for comparisons between 2 groups. Tukey’s post hoc test was used to validate ANOVA for comparing measurement data between groups. All the data were obtained from at least 6 independent tests or experiments. Statistical significance was defined as p<0.05.
5
Factors Associated with Pandemic-Related Mental Health Symptoms
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The categorical variables in this study were presented with frequency and percentage while the continuous variables were reported with mean and standard deviation. In univariate analyses, a Chi-square test or t-test was used to examine the associations of demographics, pandemic-related, and psychological factors with depressive, anxiety, insomnia, and acute stress symptoms. The factors showed significance in the univariate analyses were included in further binary logistic regression analyses. The regression model was adjusted for gender and age by using the enter method while other demographic, pandemic-related, and psychological factors were analyzed by using the forward likelihood ratio method. All analyses were two-tailed with an alpha level set at P < 0.05 and were conducted using SPSS software 22.0.
6
Evaluating Gonococcal Antibiotic Sensitivity
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The results of the batch were recorded if the MIC value of the standard strain was within the standard MIC value or ±1 concentration of the standard MIC value indicating the validity of this test.12 (link) If the MIC value of the standard strain was not within the appeal range, it indicates that this test was invalid and the antimicrobial drug pans needed to be reconstituted and measured. The included experimental results were expressed in terms of the number and rate of strains, then calculated descriptive statistics (range, mode, MIC50, MIC90) to characterize the distribution of antibiotic MICs results. Furthermore, the drug sensitivity distribution of clinical gonococcal isolates in Zhejiang was analyzed descriptively. SPSS software 22.0 (SPSS Inc., Chicago, USA) and Excel 2019 (Microsoft, Washington, USA) were applied for data analysis. Figures were made in GraphPad.
7
Comparative Statistical Analysis of Experimental Groups
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The data are presented as the mean ± SD, SPSS software 22.0 (SPSS, Inc., Chicago, IL, United States) was used for statistical analyses. Student’s t-test was used to analyze the comparison between two groups of unpaired data with normal distribution and homogeneity of variance. One-way analysis of variance (ANOVA) and Tukey’s post-hoc test were used to compare between multiple groups, p < 0.05 was considered as significant.
8
Transdermal Drug Delivery: Comparative Analysis
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Seventy-two rats were classified into four groups of 18 rats each, where group I was control and animals in group II, group III and group IV were treated with drug suspension, transethosomes and optimal PB, respectively. A known volume (0.5 mL) of drug suspension, transethosomes and optimal PB was added non-occlusively to dorsal rat’s skin on a specific area that was shaved earlier. After various time intervals of treatment (1, 2, 4, 6, 8 and 10 hrs), three rats per group were killed and the dorsal rat’s skin was cut and analyzed.3 (link),7 (link),11 (link) AUC0–10 values were calculated and compared between treatments. Statistical significance was studied using one-way ANOVA adopting SPSS® software 22.0. Post-hoc test was conducted using Tukey’s HSD test.
9
Genetic Associations and Survival Analysis
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Continuous variables were compared with the Mann–Whitney U test or Kruskal-Wallis H test. Categorical variables were compared with the Chi-squared test. Associations between genotype were assessed by calculating odds ratios (OR) and corresponding 95% confidence intervals (CI). All computations were performed with SPSS software 22.0. GraphPad Prism 6.0 system was used to draw and analyze the survival curves. A probability (P) value of <0.05 was considered statistically significant.
10
Statistical Analysis of Research Data
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Data analysis was performed statistically using SPSS® software 22.0 (SPSS, Chicago, IL, USA). The comparison between each parameter at baseline and the end of the study was conducted using paired t-test. Conversely, the comparison between different groups at different periods was performed using univariate and the post-hoc test was assessed using Tukey test. The significance level was set at p < 0.05.
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