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Spss software package version 14

Manufactured by IBM
Sourced in United States

SPSS software package version 14.0 is a comprehensive set of tools for data analysis, data management, and data documentation. It provides a wide range of statistical and analytical capabilities, including descriptive statistics, bivariate and multivariate analysis, and predictive modeling. The software is designed to help users quickly and easily analyze data, generate reports, and make informed decisions.

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Lab products found in correlation

14 protocols using spss software package version 14

1

One-way ANOVA Experimental Analysis

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Data from at least three independent experiments are expressed as the means ± SDs. Statistical comparisons among different groups were evaluated using one-way ANOVA followed by the Student-Newman-Keuls text. The level of significance was set at P < 0.05. SPSS software package version 14.0 (SPSS, Chicago, IL, USA) was used for data analysis.
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2

Statistical Analysis of Experimental Data

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All data were expressed as mean ± SD and were analyzed using ANOVA, followed by a Bonferroni correction for post hoc t-test (with exception of Western blot). Western blot densities were analyzed with the Kruskal-Wallis test, followed by Dunn's post hoc test. A value of P < 0.05 was considered to be statistically significant. All statistical tests were performed using SPSS software package version 14.0 (SPSS, Chicago, IL, USA).
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3

Statistical Analysis of Experimental Data

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Continuous variables that approximated the normal distribution were expressed as means ± standard deviation (SD). Comparisons between groups were subjected to ANOVA followed by Bonferroni correction for post hoc t-test. Data expressed as proportions were assessed with a Chi-square test. Two sided tests have been used throughout, and P < 0.05 was considered statistically significant. SPSS software package version 14.0 (SPSS, Chicago, IL) was used for data analysis.
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4

Minipig Characteristics Evaluation

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Continuous variables that approximated the normal distribution are presented as mean ± standard error of the mean (SEM). The characteristics of the minipigs were evaluated using the Kruskal-Wallis test. Multiple group comparisons were performed by one-way analysis of variance (ANOVA) followed by the least significant difference (LSD) t-test for post hoc analysis. Comparisons between the two independent groups were analyzed using the Student's t-test. Two-sided tests were used throughout, and p-values < 0.05 were considered statistically significant. SPSS software package version 14.0(SPSS, Chicago, IL, USA) was used for data analysis.
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5

Statistical Analysis of Experimental Data

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All values and figures were expressed as mean ± SD. Comparison between groups were subjected to ANOVA followed by Bonferroni correction for post hoc t-test. Data expressed as proportions were assessed with a Chi-square test. Two sided tests have been used throughout, and P values<0.05 were considered statistically significant. SPSS software package version 14.0 (SPSS, Chicago, IL) was used for data analysis.
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6

Statistical Analysis of Continuous and Categorical Data

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Continuous variables were expressed as mean ± SD. Comparison between groups were subjected to anova followed by Bonferroni correction for post hoc t‐test. Data expressed as proportions were assessed with a chi‐squared test. Two‐sided tests have been used throughout, and P < 0.05 was considered statistically significant. SPSS software package version 14.0 (SPSS, Chicago, IL, USA) was used for data analysis.
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7

Statistical Analysis of Experimental Data

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All values and figures were expressed as mean ± SD. Comparison between groups was subjected to ANOVA followed by Bonferroni correction for post hoc t-test. Two-sided tests have been used and P < 0.05 were considered statistically significant. SPSS software package version 14.0 (SPSS, Chicago, IL, USA) was performed for data analysis.
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8

Comparative Statistical Analysis of Physiological Measures

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Continuous variables that approximated the normal distribution were expressed as means ± SD. Comparison between groups were subjected to anova followed by Bonferroni correction for post hoc t-test. Data expressed as proportions were assessed with a chi-squared test. Two sided tests have been used throughout, and P < 0.05 were considered statistically significant. SPSS software package version 14.0 (SPSS, Chicago, IL, USA) was used for data analysis.
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9

Statistical Analysis of Experimental Groups

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The SPSS software package, version 14.0 (Statistical Package for Social Sciences™, Chicago, IL, USA) was used for all statistical analyses. One-way analysis of variance (ANOVA) was used to detect significant differences among the groups and a Student t-test was used to compare the means in different groups, and P<0.05 was considered significant.
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10

Statistical Analysis of Experimental Data

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Numerical data are expressed as the mean ± standard deviation (SD) of at least three independent experiments. Significant differences between treatments were compared using an unpaired Student's t test, one‐way ANOVA followed by Fisher's post hoc comparison test or two‐way ANOVA with multiple post hoc comparisons. Two‐sided tests were used throughout the study, and a P value <0.05 was considered statistically significant. SPSS software package version 14.0 (SPSS, Chicago, IL, USA) was used for data analysis, and graphical representations were prepared by Prism software (GraphPad).
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