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Spss statistical package version 19.0 for windows

Manufactured by IBM
Sourced in United States

SPSS Statistical Package version 19.0 for Windows is a comprehensive software solution for statistical analysis. It provides a range of statistical and data management tools to support data exploration, modeling, and reporting. The core function of SPSS is to enable users to analyze and interpret data, identify patterns, and make informed decisions.

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Lab products found in correlation

5 protocols using spss statistical package version 19.0 for windows

1

Genetic Variants and Body Composition

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The SPSS statistical package version 19.0 for Windows (SPSS, Inc., Chicago, IL, USA) was used to perform all statistical evaluations. Allele frequencies were determined by gene counting. X2 test were used to confirm that the observed genotype frequencies exhibited a Hardy-Weinberg equilibrium distribution. For body composition and vascular features, data were further analyzed for significant difference between the three genotypes using a One-Way ANOVA and where appropriate a post hoc Bonferroni test. Statistical significance was accepted at the 0.05 level. All variables are presented as the means ± standard deviations.
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2

Regulation of RAB3IP by miR-532-3p in Gastric Cancer

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We used SPSS statistical package version 19.0 for Windows (SPSS, Chicago, IL, USA) and GraphPad Prism 7 (GraphPad Software, Inc., San Diego, CA, USA) for statistical analysis. We used Mann-Whitney test to compare the mRNA levels of RAB3IP and miR-532-3p between GC tissues and normal tissues. The relationship between Rab3IP and miR-532-3p was assessed by linear regression analysis. Comparison among multiple groups was made using one-way ANOVA. P <0.05 was considered to indicate a statistically significant difference.
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3

Pup Survival Optimization Study

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All data are expressed as the mean ± standard deviation (SD), and the levels of significance are cited. SPSS statistical package version 19.0 for windows was used for all data analyses. The ANOVA analyses were combined with a least significant difference (LSD) test when appropriated. An independent-sample t-test was performed to assess significant differences between the treated and the respective control groups for the number of pups/dam analysis.
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4

Genetic Association of COL5A1 with SLR

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The SPSS statistical package version 19.0 for Windows (SPSS, Inc., Chicago, IL, USA) was used to perform all statistical evaluations. Allele frequencies were determined by gene counting. X2 test was used to confirm that the observed genotype frequencies exhibited a Hardy-Weinberg equilibrium distribution. Further, we carried out an X2 test for understanding association between SLR and COL5A1 allele and Fisher’s exact test was used to evaluate association between SLR and COL5A1 genotypes. Differences in the WBJL results of ROM among the COL5A1 genotypes were tested using analysis of variance (with Tukey’s multiple comparison test). The level of significance was set at α =0.05.
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5

Online Survey Data Management and Analysis

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Anonymous questionnaire responses were collated using an online survey site (SurveyMonkey®, Palo Alto, CA, USA) to facilitate data management and analysis. All responses are expressed as a percentage of the total number of responses for that question. No imputation has been made as the proportion of missing values was so low: all questions had seven or less missing responses. Data collected by this questionnaire were analysed using simple procedures to calculate proportions. To examine for differences between respondents, multivariable analysis was performed using SPSS statistical package version 19.0 for Windows (SPSS, Chicago, IL, USA) with a P-value of <0.01 for statistical significance.
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