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Spsss software version 18

Manufactured by IBM
Sourced in United States

SPSS Statistics is a software package used for statistical analysis. Version 18 provides a comprehensive set of tools for data analysis, data management, and data documentation. The software is designed to facilitate the exploration, visualization, and modeling of data.

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Lab products found in correlation

2 protocols using spsss software version 18

1

Pharmacy Type and Patient Characteristics

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Subject characteristics that were categorical variables were summarized as counts and percentages. Continuous variables were summarized as means with standard deviations. The results related according to the type of pharmacy selected were grouped into 3 categories: urban, semi-urban, and mountain. For the statistical analysis, the χ2 test was used for the study of the categorical variables and the Student t-test to compare continuous variables. A p-value < 0.05 was considered statistically significant. All analyses were conducted with SPSSS software, version 18 (SPSS Inc., Chicago, IL, USA).
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2

Statistical Analysis of Patient Characteristics

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Patient’s characteristics that were categorical variables were summarised as counts and percentages. Continuous variables were summarised as means with standard deviations. For the statistical analysis, the χ2 test was used for the study of the categorical variables. A p value < 0.05 was considered statistically significant. All analyses were conducted with SPSSS software, version 18 (SPSS Inc., Chicago, IL, USA).
Moreover, clustering of the study groups was analysed by non-metric multidimensional scaling (NMDS) in Rstudio using the R package vegan (Community Ecology Package. R package version 2.4-6). In the NMDS plot it was represented the complex dimensional data in two dimensions to highlight the similarities between customers in terms of their characteristics and behaviour. In this term, the further two samples are from each other, the less similar they are. Furthermore, more information was overlaid on ordination NMDS plot with the function “envfit” to represent vectors onto the plot. Longer vectors mean a stronger association with the participants in that direction.
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