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Spss version 15.0 statistical software package

Manufactured by IBM
Sourced in United States

SPSS version 15.0 is a statistical software package developed by IBM. It provides data analysis, management, and presentation capabilities. The core function of SPSS is to help users analyze and interpret data through a range of statistical techniques, including regression analysis, correlation, and hypothesis testing.

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Lab products found in correlation

4 protocols using spss version 15.0 statistical software package

1

Stability Assessment of Drug Admixtures

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The results are presented as the mean ± standard deviation (mean ± sd). The drug concentration at the starting time of preparation for FC and NH was identified as 100%, and all subsequent sample concentrations were defined as a percentage of the initial concentration. The drug admixtures were considered chemically unstable if a change of more than 10% occurred within each individual container. The change in drug concentration in the solutions at the different time points was analysed by linear regression analysis. The SPSS version 15.0 statistical software package (SPSS Inc., USA) was used to perform all statistical analyses.
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2

Body Size Perception and BMI Assessment

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SPSS version 15.0 statistical software package (SPSS Inc., Chicago, USA) was used to carry out statistical analysis. Descriptive statistics of mean, standard deviation, and percentage were used to present the data. Gender differences in verbal and visual perceptions were examined using Chi-square test. Differences between self and people perceptions were examined using McNemar test. Spearman correlation was used to find correlation between body size perception and measured BMI while kappa coefficient (K) was used to calculate degree of agreement. The kappa coefficient is a measure of agreement: K = 1 is a perfect agreement while K = 0 is the weakest agreement. For the kappa coefficient and Chi-square analysis we re-grouped BMI categories into four from five groups used in the questionnaire (we combined obese and morbidly obese group). For McNemar analysis we re-grouped BMI categories into 2 × 2 tables. P < 0.05 was considered to be statistically significant.
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3

Murine Myocardial Infarction Survival Analysis

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All data are expressed as mean ± standard error of mean. Comparisons between BALB/c mice versus C57BL/6 mice and ‘no MI versus time‐point’ for BALB/c and C57BL/6 mice were performed with the Wilcoxon rank‐sum test. Survival distributions were plotted using the Kaplan–Meier method and compared by the log‐rank test. The level of significance was set at P < 0·05. All statistical analyses were performed with spss version 15.0 statistical software package (SPSS Inc., Chicago, IL, USA).
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4

Statistical Analysis of Experimental Data

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All data were expressed as the mean ± standard deviation (±SD) submitted to one-tailed analysis of vriance (ANOVA) in four animals for each condition in a variable number of experiments specified for each case. Analysis for evaluating significant differences between groups was carried out with the Tukey test. Significant differences were considered at a value of p < 0.05. Data were processed with the SPSS version 15.0 statistical software package (SPSS, Inc., Chicago, IL, USA).
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