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Spss version 19.0 statistical analysis package

Manufactured by IBM
Sourced in United States

SPSS version 19.0 is a statistical analysis software package developed by IBM. It provides a comprehensive set of tools for data analysis, including data management, statistical modeling, and reporting. The software is designed to help users analyze and interpret data effectively.

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Lab products found in correlation

3 protocols using spss version 19.0 statistical analysis package

1

Statistical Analysis of Experimental Data

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Statistical analyses were performed using the SPSS version 19.0 statistical analysis package (SPSS, Inc., Chicago, IL, USA). Results were expressed as means and standard deviations. One way analysis of variance (ANOVA) followed by T2 of Tamhane post hoc test was applied. Pearson product-moment correlations were performed to assess linear dependence between variables. Differences were accepted as significant at p < 0.05 (a > b > c).
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2

Comparative Analysis of Pharmacological Interventions

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All experiments were performed in triplicate. Data are expressed as the mean ± standard deviation. All statistical analyses were performed using SPSS version 19.0 statistical analysis package (SPSS Corp., Armonk, NY, USA). Statistical analysis was performed using one-way analysis of variance with a Bonferroni post-hoc test. The means of the 2 groups were analyzed using the Student’s t-test. Differences were considered significant at P<0.05.
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3

Cholesterol and Diet Effects on Growth

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All experiments were performed in triplicate. Statistical analyses were performed using the SPSS version 19.0 statistical analysis package (SPSS, Inc., Chicago, IL, USA). Results were expressed as means and standard deviations. A two-way ANOVA (cholesterol and diet) was used. Pairwise comparisons of diet responses between groups were made employing the Bonferroni test. Where variances were assumed to be unequal, the T2 of the Tamhane post hoc test was applied. The effect of cholesterol consumption was evaluated using an unpaired Student’s t test. Differences in growth rate induced by diets were assessed by the ANOVA test (SAS statistical packet 9.2).
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