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Spss computer software version 18

Manufactured by IBM
Sourced in United States

SPSS version 18.0 is a computer software package for statistical analysis. It provides a variety of data manipulation and analysis functions.

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Lab products found in correlation

4 protocols using spss computer software version 18

1

Quantifying Candida albicans Reduction

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The SPSS computer software version 18.0 (SPSS Inc., Chicago, Illinois, USA) was used to perform statistical analysis. The values were analysed using non-paramatric Kruskal-Wallis and Mann–Whitney-U tests to compare the median reduction of Candida albicans between all intracanal medicaments. Probability values of P < 0.05 were set as the reference for statistically significant results.
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2

Comparative Analysis of Treatment Efficacy

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The sample size was confirmed based on a power analysis with a power of 80%. Data were expressed as mean ± standard deviations. Normal distribution was confirmed by Kolmogorov–Smirnov tests. The groups were compared using one-way analysis of variance (ANOVA) followed by Bonferroni post hoc test (using the SPSS computer software Version 18.0, SPSS Inc., Chicago, IL, USA). Differences were considered significant at p < 0.05.
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3

Statistical Analysis of Disease Detection

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Data were collected, tabulated then statistically analyzed using Statistical Package for Social Sciences (SPSS) computer software version 18 (Chicago, IL, USA). Numerical variables are presented as the mean and standard deviation (± SD), while categorical variables are presented as the number (n) and percentage (%). Sensitivity is the proportional detection of individuals with the disease of interest in the population (true positive/true positive + false negative ×100).
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4

Statistical Analysis of Numerical and Categorical Data

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Data were collected and statistically analyzed using Statistical Package for the Social Sciences (SPSS) computer software version 18 (Chicago, IL, USA). Numerical variables were presented as mean and standard deviation (± SD), while categorical variables were presented as number (n) and percentage (%). Statistical analysis was performed using Student’s t and chi-square (χ2) tests. A difference with a p-value < 0.05 was considered statistically significant.
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