Spss version 22
SPSS version 22.0 is a statistical software package developed by IBM. It is designed to analyze and manipulate data for research and business purposes. The software provides a range of statistical analysis tools and techniques, including regression analysis, hypothesis testing, and data visualization.
Lab products found in correlation
9 849 protocols using spss version 22
Statistical Analysis of Acute Flare in CHB
Assessing CPG Reporting and Methodological Quality
Analysis of Partograph Knowledge and Usage
Profiling College Students' Sports Motivation
We first used the SPSS version 22.0 statistical analysis software to conduct a descriptive statistical analysis of sample characteristics. This was followed by Mplus version 7.0 to conduct a LPA of college students’ sports behavior motivation. Finally, the SPSS version 22.0 statistical analysis software was used to explore the relationship between college students’ sports behavior motivation types and family social class using the chi-square analysis and multiple logistic regression analysis relationships.
AI-Powered LARC Identification via CT
This methodology ensured a robust and comprehensive approach to evaluating AI’s capability in accurately identifying LARC cases through CT imaging, potentially transforming diagnostic processes in oncological care.
Predicting Blood Transfusion in THA Patients
Statistical Analysis of Interobserver Agreement
Predictors of Ibutilide Rhythm Conversion
Spermine Effects on In Vivo and In Vitro Experiments
For in vitro experiment, the data were subjected to ANOVA, followed by Duncan's multiple range tests to determine the significant differences among the treatments at the level of P < 0.05.
Assessing Pesticide Exposure using AChE Inhibition
An independent samples t-test was conducted to compare difference in AChE inhibition between the exposed and the control group. Similarly, difference in AChE levels between different variables were compared using an independent samples t-test analysis. A one-way ANOVA was conducted to test the difference in AChE levels between locations, age groups, farming experience in years. When a significant difference was detected by the ANOVA, treatment means were compared using Tukey’s HSD test. Differences in treatment means were considered statistically significant at the p = 0.05 level. The data were analyzed using IBM SPSS Version 22 and results are presented as means ± SD.
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