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Spss 19.0 statistical software program

Manufactured by IBM
Sourced in United States

SPSS 19.0 Statistical Software Program is a comprehensive software package designed for advanced statistical analysis. It provides a wide range of statistical techniques, including descriptive statistics, bivariate analysis, regression analysis, and multivariate analysis. The software is designed to handle large data sets and offers a user-friendly interface for data management, analysis, and reporting.

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Lab products found in correlation

7 protocols using spss 19.0 statistical software program

1

Statistical Analysis of Structural Properties

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The statistical differences between data from varieties were detected using one-way analysis of variance (ANOVA) by Tukey’s test using the SPSS 19.0 Statistical Software Program. The Pearson correlation analysis and hierarchical cluster analysis were also evaluated using SPSS 19.0 Statistical Software Program. Prior to the analysis, the normal distribution of structural property parameters was assessed using the Shapiro–Wilk test with SPSS 16.0. Only structural property parameters with their significances of normal distributions over 0.05 were used to evaluate the Pearson correlation and hierarchical cluster analysis.
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2

Comparative Analysis of Experimental Outcomes

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The results are presented as mean value ± standard deviation of at least triplicates, except for XRD, which was performed only once. A one-way analysis of variance (ANOVA) followed by a Duncan test (p < 0.05) was used to examine significant differences among experimental mean values using the SPSS 19.0 Statistical Software Program (SPSS Inc., Chicago, IL, USA).
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3

Triplicate Analysis of Variance

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All analyses were performed at least in triplicate, and the results were reported as the mean values and standard deviations. A one-way analysis of variance (ANOVA) followed by post-hoc Duncan’s multiple range test (p < 0.05) was conducted to determine the significant differences between mean values using the SPSS 19.0 Statistical Software Program (SPSS Inc., Chicago, IL, USA).
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4

ABO Blood Types and Sporadic Pancreatic Neuroendocrine Tumors

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Data are presented as median ± standard deviation or number (percentage), as specified. Pearson's χ2 test was performed to compare the blood-type distribution in the Chinese Han population. Crude and adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for ABO blood types were calculated using unconditional logistic regression analysis. Potential confounders considered in the multivariate analysis were age (continuous), gender, smoking status, alcohol drinking, and first-degree FHC (yes vs. no). Because we were most interested in whether ABO blood types were risk factors for sporadic PNET, current smokers/drinkers and ex-smokers/drinkers were combined into a single group (ever smokers vs. never smokers; ever drinkers vs. never drinkers). Pearson's χ2 and Kruskal-Wallis test were used to evaluate the clinical characteristics in patients with F- and NF-PNET across ABO blood types. All statistical analyses were conducted using SPSS 19.0 statistical software program (SPSS, Chicago, IL, USA). Two-tailed P values < 0.05 were considered to be significant.
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5

Statistical Analysis of Experimental Data

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The data reported in all the tables were means ± standard deviation. The one-way analysis of variance by Tukey’s test was evaluated using the SPSS 19.0 Statistical Software Program (IBM Company, Chicago, IL, USA). Differences were considered statistically significant if p-values were less 0.05. Hierarchical cluster analysis was employed using between-groups linkage as the cluster method and Pearson correlation as the interval measure.
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6

Statistical Analysis of Research Data

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The data were analyzed using SPSS 19.0 Statistical Software Program (IBM Company, Chicago, IL, USA).
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7

Physicochemical Properties Analysis

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The one-way analysis of variance with post hoc contrasts by Tukey’s test and the normal distribution of all measuring data by Shapiro-Wild test were carried out using the SPSS 19.0 Statistical Software Program (IBM Company, Chicago, IL, USA). The physicochemical properties with the significance of normal distribution over 0.05 were used for principle component analysis using Minitab V. 16.0 software (IBM Company, Chicago, IL, USA).
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