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Spss for windows release 14.0k

Manufactured by IBM
Sourced in United States

SPSS for Windows (Release 14.0K) is a software application designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is capable of handling a wide range of data types and offers a variety of statistical techniques, including descriptive statistics, regression analysis, and multivariate analysis.

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Lab products found in correlation

4 protocols using spss for windows release 14.0k

1

Statistical Analysis of Renal Tubules

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Multiple comparison tests for different treatment groups were conducted. Variance homogeneity was examined using the Levene test. If the Levene test indicated no significant deviations from variance homogeneity, the data were analyzed by a one-way analyses of variance (ANOVA) followed by the least-significant differences (LSD) multi-comparison test to determine which pairs of groups were significantly different (analysis of vacuolated renal tubules, immunohistochemcial analysis of PAI-1). In the case of significant deviations from variance homogeneity in Levene’s test, the Kruskal-Wallis H test was conducted and then, followed by the Mann-Whitney U (MW) test. Statistical analyses were conducted using SPSS for Windows (Release 14.0K, SPSS Inc., Chicago, IL, USA). Differences were considered significant at P < 0.05.
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2

Evaluating Esophageal-Fundus Damage and Therapeutic Efficacy

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Numerical data are presented as means ± SD According to results of Levene test, when the results showed no significant deviation in variance homogeneity, a one-way analysis of variance (ANOVA) and a least significant difference (LSD) test were done. If there were significant deviations in variance homogeneity, the Kruskal-Wallis H test and Mann–Whitney U (MW) test were conducted. Statistical software was SPSS for Windows release 14.0 K, (SPSS Inc., Chicago, IL, USA), and P value < 0.05 was considered of statistical significance. In addition, the percent changes compared to sham (PCS) were calculated to estimate the severities of esophageal-fundus damage induced by the RE induction surgery according to (3), and the percent changes compared to control (PCC) were calculated to assess the efficacy of the PD or OMP according to (4): PCS%=Data  from  controlData  from  shamData  from  sham×100, PCC%=Data  from  PD  or  OMP  pretreated  ratsData  from  controlData  from  control×100.
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3

Statistical Analysis of Experimental Findings

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All numerical data were expressed as mean ± standard deviation (SD) from at least three separated experiments. One-way analysis of variance test (ANOVA) was used to determine the significances of differences among experimental groups, and Levene’s test was used to examine variance homogeneity. Fisher’s least significant difference (LSD) test for variance homogeneity or Dunnett’s T3 test for variance non-homogeneity was used as post hoc analysis to identify significant differences between pairs of groups. Differences were considered significant at p < 0.05. Statistical analyses were conducted using SPSS for Windows (Release 14.0K; SPSS Inc., Chicago, IL, USA).
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4

Bone Histomorphometry Analysis Protocol

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One-way analysis of variance was used to assess significant differences among the treatment groups. For each significant effect identified, Tukey’s honestly significant difference test and Bonferroni were used to compare multiple group means. In addition, all histomorphometric values are expressed as means ± standard deviations (SD). Multiple-comparison tests for the different treatment groups were conducted. If significant deviations from variance homogeneity were detected using the Levene test, then the non-parametric Kruskal–Wallis H-test was conducted. When a significant difference was detected by the Kruskal–Wallis H-test, a Mann–Whitney U-test was conducted as a post-hoc analysis. Statistical analyses were conducted using SPSS for Windows (release 14.0K, SPSS Inc., IL, USA). To assess significant differences between two groups, Student’s t-test was used. Differences were considered significant at p < 0.05.
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