Statistical significance was analyzed using the Student’s t-test (paired or unpaired) or one-way analysis of variance (ANOVA) with SPSS statistical software 14.0 (SPSS Inc., USA). Data were presented as mean ± standard deviation (SD). Differences were considered to be statistically significant at p < 0.05.
Spss statistical software 14
Manufactured by IBM
Sourced in United States
SPSS statistical software 14.0 is a comprehensive data analysis and statistical software package developed by IBM. It provides tools for data management, statistical analysis, and reporting. The core function of SPSS is to enable users to analyze and interpret data, identify trends, and make informed decisions based on statistical insights.
Automatically generated - may contain errors
Lab products found in correlation
3 protocols using spss statistical software 14
1
Statistical Significance Analysis Protocol
2
Effects of Hydrochlorothiazide on Electrolyte Excretion
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Normally distributed variables are expressed as the means±SD and compared using the independent samples T test. Non-normally distributed parameters are expressed as medians (25th, 75th percentiles), and non-parametric tests were used to compare the differences between two groups. The paired t-test was used to compare individual fractional excretions of electrolytes before and after HCT application. The association between urinary PGEM and plasma electrolytes was evaluated by Spearman’s correlation analysis. Differences were considered significant when P<0.05. All statistical analyses were performed with the SPSS statistical software 14.0 (SPSS, Chicago, IL).
3
Comparing Pre- and Post-Exercise Assessments
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Statistical analyses were performed using SPSS Statistical Software 14.0. Mean ± SD is noted for descriptive statistics. Nonparametric Mann-Whitney tests were carried out to compare the pre-exercise and post-exercise assessments. Three consecutive assessments were used in Friedman's non-parametric analysis of variance for dependent tests comparing all three groups. P values of less than 0.05 were deemed statistically signi cant. The χ2 independence test was carried out for the comparison of quantitative variables.
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