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Spss 23.0 statistic software

Manufactured by IBM
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Sourced in United States

SPSS 23.0 is a statistical software package designed for data analysis. It provides a comprehensive set of tools for data management, statistical analysis, and reporting. The software is capable of handling a wide range of data types and can perform a variety of statistical techniques, including regression, correlation, and hypothesis testing.

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Lab products found in correlation

Design expert version 12, by Stat-Ease (1 mentions)

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SPSS 23.0 statistics software SPSS statistics version 23.0 software for Windows SPSS Statistics 23.0 software for Windows SPSS statistics software package version 23.0 for Windows SPSS statistics software 23.0 Version SPSS 23.0 Statistics SPSS Statistics software 23.0 SPSS Statistic 23 SPSS Statistics 23 SPSS statistic software

2 protocols using spss 23.0 statistic software

1

Multivariate Analysis of Bacterial Viability

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In this work, OriginPro 2019b statistic software (OriginLab Corp., Northampton, MA, USA) was used for plotting and nonlinear fitting analysis; Excel 2019 for Windows software (Microsoft Corp., Redmond, WA, USA) was used for data processing; and IBM SPSS 23.0 statistic software (IBM Corp., Armonk, NY, USA) was used for significant difference analysis of data. To obtain the quadratic multiple regression equation of the total number of viable bacteria, the Design-Expert version 12 software (Stat-Ease, Inc., Minneapolis, MN, USA) was used.
Aleryani H., Qing G., Sri Prabakusuma A., Abdo A., Al-Dalali S., Al-Zamani Z., Xintan J, & Jin-song H. (2024). Bactericidal efficacy of lithium magnesium silicate hydrosol incorporated with slightly acidic electrolyzed water in disinfection application against Escherichia coli. Italian Journal of Food Safety, 13(1), 11587.
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2

Diagnostic Potential of Metabolic Indicators

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Counting data were expressed as ratios, Chi-square exact test was used for comparison. The continuous variables were tested by the t-test or the Mann-Whitney U test. Logistic regression was used for multivariate analysis. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficacy of some meaningful indicators, including BMI, FBG, SBP, TC, ALT and TG, and the differences were considered statistically significant at P < 0.05. The IBM SPSS 23.0 Statistic Software (SPSS Inc., Armonk, NY, USA) was used for all statistical analyses.
Deng J., Zhang Y., Bu L., Shi H., Tang H., Wang S., Wang Q., Dang S., Li M., Han Z, & Lu X. (2021). The Prevalence, Popular Trends, and Associated and Predictive Factors of Non-Obese Fatty Liver Disease. Frontiers in Endocrinology, 12, 744710.
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