All data are representative of at least three independent experiments. Data are presented as mean ± standard error of the mean (SEM). Statistical analysis was performed by IBM SPSS Statistics Software v26.0 (IBM Co., Armonk, NY, USA). The normality of the variables was evaluated using the Shapiro-Wilk test, with homogeneity verified by the Levene test. Differences between two groups were compared by the Student’s t test or the Mann-Whitney U test, as appropriate. One-way ANOVA followed by the Turkey’s post hoc was used for multiple comparisons versus the control group. Results with a two-tailed adjusted P value < 0.05 were considered statistically significant.
Spss statistics software v 26
Manufactured by IBM
Sourced in United States
SPSS Statistics software v. 26 is an advanced statistical analysis tool developed by IBM. It provides a comprehensive set of features for data management, analysis, and reporting. The software is designed to handle a wide range of statistical techniques, including descriptive statistics, regression analysis, and hypothesis testing, among others. SPSS Statistics software v. 26 is a powerful tool for researchers, analysts, and decision-makers who require robust and reliable statistical analysis capabilities.
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Lab products found in correlation
29 protocols using spss statistics software v 26
1
Optimized Cell Culture Conditions
2
Genetic Variant Analysis Methodology
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Data were analyzed by IBM SPSS Statistics Software v26.0 (IBM Co., Armonk, NY, USA). Continuous variables were presented as mean and standard deviation (SD) or median and quartile ranges (for non-normally distributed data). Categorical variables were expressed as numbers or percentages. The normality of continuous variables was evaluated using the Shapiro–Wilk test, with homogeneity verified by the Levene test. Continuous variables between groups were compared by the Student’s t-test or the Mann–Whitney U-test, as appropriate. Categorical variables were compared using the χ2 test (or Fisher exact test for expected counts less than 5). The χ2 test was also used to evaluate differences in allele and genotype frequencies between groups, and to determine whether individual polymorphism was in Hardy–Weinberg equilibrium (HWE). Result with a two-tailed p value < 0.05 was considered statistically significant.
3
Statistical Analysis of Group Differences
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Comparisons between groups were conducted using the chi-square test, which was performed in SPSS Statistics software v26.0 (IBM Corp, Armonk, NY). P < 0.05 was considered statistically significant.
4
Statistical Analysis of Experimental Data
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Data were statistically analyzed using IBM SPSS Statistics Software v.26.0 (IBM Corp., Armonk, NY, USA) and InfoStat v.18 (Centro de Transferencia InfoStat, FCA, Universidad Nacional de Córdoba, Argentina). To evaluate significant differences among samples, t test analysis was used. A P value of <0.05 was considered statistically significant.
5
Quantification of MEX3A Expression in NPC
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The sample size in each experiment was chosen to ensure adequate power to detect a pre-specific effect. The results of at least three independent experiments were qualified by blinded observers and expressed as the mean ± standard deviation (SD). Means of two groups were compared using the two-tailed Student’s t-test, while those of multiple groups were compared by one-way ANOVA. Differences in MEX3A expression between nasopharyngeal tissues and adjacent normal tissues were analyzed using rank sum tests. Correlations between MEX3A expression and patient characteristics were analyzed using Mann–Whitney U analysis and Spearman rank correlation analysis. Correlations between MEX3A and SCIN expression in NPC TMAs were analyzed using Spearman rank correlation analysis. P < 0.05 was considered statistically significant. All analyses were conducted using IBM SPSS Statistics software v 26.0 (IBM, Corp., Armonk, NY, USA) and GraphPad Prism software v8.0.2 (GraphPad Software, La Jolla, CA, USA).
6
Highly Myopic Eye Evaluation
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All statistical analyses were performed using IBM SPSS statistics software v26.0 (IBM Corporation, Armonk, NY, USA). Clinical data were compared between the highly myopic eye and the fellow eye using a Wilcoxon signed-rank test or Fihser’s exact test. The comparison of the BCVA within the same uHM patient group at different time points was evaluated using the Wilcoxon signed-rank test or paired Student’s t-test. The refractive difference between the highly myopic eye and the fellow eye with the corresponding difference in total axial length was compared by linear regression. A P value less than 0.05 is taken to indicate statistical significance.
7
Statistical Analysis of Continuous and Categorical Variables
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IBM SPSS Statistics software (v 26.0) (IBM, Armonk, NY, USA) was used for database management and statistical analysis. Continuous variables were expressed as the median and interquartile range (IQR). The normally distributed continuous variables were analyzed by the t test, while the nonnormally distributed continuous variables were analyzed by the Mann–Whitney U test. The chi-square was used to analyze categorical variables, which were expressed as frequencies and percentages. MedCalc, version 20.010 (MedCalc Software, Ostend, Belgium), was used to calculate the sensitivity, specificity, and positive and negative predictive values.
8
Analyzing AGP1 Expression in Tumors
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The messenger RNA (mRNA) expression level was analyzed by The HUMAN PROTEIN ATLAS database (https://www.proteinatlas.org/ENSG00000229314-ORM1). The correlation between AGP1 expression and tumor stage was investigated by the GEPIA database (http://gepia.cancer-pku.cn/). Receiver operating characteristics (ROC) curves were used to define sensitivity and specificity, and the differences in the area under the curves (AUC) were detected. The correlation of variates was analyzed using bivariate correlation analysis by Spearman test (r) with a two-tail test. In the multivariate analysis, the factors associated with AGP1 were determined by a linear regression model with a backward stepwise. Calculations were performed using IBM SPSS statistics software (v26.0). A P-value <0.05 was considered statistically significant.
9
Statistical Analysis of Research Variables
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The IBM ® SPSS ® Statistics software, v26.0, was used to analyze variables in a descriptive manner and develop frequency tables. The statistical difference between variables was established using Fisher's exact test and, for continuous variables with a normal distribution, the Mann-Whitney U test was used.
10
Statistical Analysis of Experimental Data
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Analysis of variance (ANOVA) followed by a Tukey-b test were used when comparing more than two data sets, after confirming the homogeneity of variances by the Levene test using IBM SPSS Statistics software v.26. All data have been represented as the average ± standard deviation. Significant differences (p ≤ 0.05) are denoted by showing the data provided in tables with different letters.
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