Quantitative data will be expressed in the form of mean ± standard deviation (SD). For differences between more than 2 groups, one‐way analysis of variance (ANOVA) was used for parametric variables and Kruskal‐Wallis test was used for non‐parametric variables to find whether there was a statistically significant difference in between the groups. Qualitative data will be demonstrated through figures of frequency and percentage. Between groups of qualitative data, chi‐squared test (χ2) or Fisher's exact test was used. Data were analyzed using SPSS/PC + 11.5 (SPSS, Inc, Chicago, IL). Statistical significance was set at P < .05. Demographic and clinical information was obtained from medical records. Charts of different types will be used to illustrate data and relations where appropriate. To identify relations between different variables, Spearman (ρ) correlation was used. Scatter plot graph was used to illustrate relations between several variables, and to produce a line of best fit and R2 value of regression.
Spss pc 11
Manufactured by IBM
SPSS/PC + 11.5 is a statistical software package developed by IBM. It provides tools for data analysis, data management, and data visualization. The software is designed to handle a wide range of data types and can be used for a variety of statistical analyses, including regression, correlation, and hypothesis testing.
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Lab products found in correlation
2 protocols using spss pc 11
1
Metabolic Profiling in Chronic Diseases
2
Genetic Diversity Analysis of 105 Genotypes
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The SPSS/PC-11.5 (M.J.Norusis,SPSS Inc.,Chicago) package [17, 18] was used for various statistical analyses. The PCR pro les were subjected to binary scoring (1 for presence and 0 for absence of DNA fragments).Clustering of 105 genotypes was done on genetic distance. Genetic similarity coe cients among twenty races were estimated from the binary data by Hierarchical cluster analysis using Ward method [19] [20] [21] . Two major groups are found in the cluster obtained.
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