Spss statistics 22 for windows
SPSS Statistics 22 for Windows is a statistical software package designed for data analysis, management, and presentation. It provides a comprehensive set of tools for handling a wide range of data types, performing various statistical analyses, and generating reports and visualizations. The core function of SPSS Statistics 22 is to enable users to analyze and interpret data effectively.
Lab products found in correlation
132 protocols using spss statistics 22 for windows
Statistical Analysis of Biomedical Data
Gut Microbiome and Cardiorespiratory Fitness
Linear regression was used to assess the relationship between cardio-respiratory fitness and gut microbiota. The analyses were performed with and without adjusting for age, dietary intake and fat%. The p-values were adjusted by multiple comparisons in FDR (false discovery rate). Statistical significance was set at p < 0.05 with 2-tails.
In addition, multivariable least square regressions were performed in assessing the contribution of the variables (i.e., EreC, age, energy yield nutrients of fat, carbohydrates, protein and alcohol, as well as fat% of the whole body) and the outcome variables (i.e., VO2max, leptin, HDL and TG). To make each outcome comparable, we standardized each column by means of z-scoring so that each column has mean value 0 and standard deviation 1. The Pearson correlation coefficients between the regressed outcome and the observed outcome were calculated and regression weights for each variable were provided. The higher the absolute weight, the higher the contribution.
Statistical Analysis of Surgical Outcomes
Electronic Device Usage and Sleep
Evaluating Shear Wave Velocity Measurements
For each participant, the interquartile range (IQR, the difference between the 75th percentile and the 25th percentile) and success rate (SR, number of valid measurements divided by total number of measurements) for each level of applied transducer force was recorded. The mean IQR and SR were then calculated across all participants for each magnitude of applied transducer force. Where means were presented, the standard deviation and overall range of the data were included.
Statistical Analysis of Experimental Groups
Statistical Analysis of Positive Activity Intervention
Cross-over Study on Endothelial Function
Nonparametric Statistical Analysis Protocol
Correlations were tested with Spearman’s rank correlation coefficient. For all analyses, p-values < 0.05 were considered statistically significant. Data were analyzed using GraphPad Prism 8.3 and SPSS statistics 22 for Windows (SPSS Inc., Chicago, IL, USA).
Epidemiology of Hypertension and Obesity
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