Statistical analyses were carried out with SPSS for Windows (20.0.0). Non-parametric testing was used (Mann-Whitney-U) for group comparisons of the respective mean parameter values. As evaluation of the relationship between quantitative and clinical parameters is only meaningful for ROIs in which T1 or PD are significantly increased in the MS group as compared to the control group, correlations of T1 and PD with EDSS, disease duration, gender and age were assessed only for the respective regions, using Spearman’s rank correlation coefficient. For all statistical procedures, tests where p was <0.05 were considered significant.
Spss for windows 20.0.0
Manufactured by IBM
Sourced in United States
SPSS for Windows (20.0.0) is a software application designed for statistical analysis. It provides a range of tools and features for data management, analysis, and visualization. The software is capable of performing a variety of statistical procedures, including regression analysis, correlation, and hypothesis testing.
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Lab products found in correlation
3 protocols using spss for windows 20.0.0
1
Evaluating MRI Biomarkers in Multiple Sclerosis
2
Comparative Analysis of Treatment Outcomes
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Continuous parameters are presented as mean and range or median and interquartile range (IQR) and categorical parameters as proportions. Statistical analysis included the independent-samples t-test for parametric data and the Mann-Whitney U test for non-parametric data. A p-value < 0.05 was considered the threshold of significance. Analysis was performed using SPSS for Windows 2000 (v. 11.0; SPSS, USA).
3
Quantifying Aflatoxin M1 in Milk
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All statistical analyses were carryed out using Microsoft Excel and SPSS for Windows 20.0.0 (SPSS Inc., 2007, Chicago, Illinois, USA). Mean, standard deviations, % RSD, maximum and minimum concentration, and coefficient of determination (r 2 ) were calculated for AFM1 using descriptive statistics. Differences in mean levels of AFM1 between different types of milk samples tested during different seasons from all three districts were analysed by using a one way analysis of variance (ANOVA) with post hoc Tukey's test at 95% mean confidence interval. The relationship between occurrence of AFM1 in milk samples and season, or location or type of milk was calculated with a Chi-square test.
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