Descriptive statistics were used to summarize the data. Independent sample t tests were used to examine group differences in average amylase levels. Statistical analyses were performed with IBM SPSS Version 20 (SPSS Statistics V20, IBM Corporation, Somers, NY). The statistical significance level was set at a P value <0.05.
Spss version 20 spss statistics v20
Manufactured by IBM
Sourced in United States
SPSS Version 20 (SPSS Statistics V20) is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, statistical modeling, and reporting. The core function of SPSS Version 20 is to enable users to analyze and interpret data, perform a variety of statistical tests, and generate reports and visualizations.
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Lab products found in correlation
4 protocols using spss version 20 spss statistics v20
1
Amylase Level Comparison Study
2
Predicting Intrauterine Gestational Milestones
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Age was presented as median (minimum, maximum). Other continuous data were presented as mean ± standard deviation (SD), while categorical data were displayed as number and percentage (%). Due to the measurement limitation of β-HCG, all data which were recorded as < 0.1 were transformed to 0.099 for analysis. Receiver operating characteristic (ROC) curve analysis and corresponding statistics were utilized for predicting iGM classification based on serum β-HCG level. Student’s t-test (independent and paired), Mann-Whitney U test, Wilcoxon signed-rank test, phi coefficient, and Chi-square test were used depending on the properties of the data. All analyses were performed using IBM SPSS Version 20 (SPSS Statistics V20, IBM Corporation, Somers, New York). A value of P < .05 was considered to indicate statistical significance.
3
Comparative Analysis of Cell Viability
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All experiments were repeated three times. The quantitative data were presented as mean ± standard deviation (SD) for each group. Student’s t-test was used to compare the mean in experiments with two groups. One-way analysis of variance (ANOVA) and Fisher’s least significant difference (LSD) tests were used as post hoc for comparisons in experiments with more than two groups. If the homogeneity hypothesis failed, Dunnett’s t3 test was used to analyze the significant differences between groups. Two-way ANOVA was used in the CCK-8 experiments. The significance level of all tests was set at P≤0.05. Statistical analysis was performed by using IBM SPSS Version 20 (SPSS Statistics V20; IBM Corporation, Somers, NY, USA).
4
Statistical Analysis of Research Data
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Continuous data were indicated with mean ± standard deviation (SD), while categorical data were reported as count and percentage (%). Student's independent t-test and one-way ANOVA were used to test the difference of means between 2 groups or among multiple groups (>2). Nonparametric tests including the Mann-Whitney U test and Kruskal-Wallis test were used to compare means between groups for data normality was not assumed. Categorical data were tested with Chi-square test or Fisher's exact test (if any expected value ≤ 5 was found). The statistical significance level for all the tests was set at a p value < 0.05. Statistical analyses were performed using IBM SPSS Version 20 (SPSS Statistics V20, IBM Corporation, Somers, New York).
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