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Spss ver 17

Manufactured by IBM
Sourced in United States, Japan

SPSS (Statistical Package for the Social Sciences) version 17.0 is a software application primarily used for statistical analysis. It provides a comprehensive set of tools for data management, data analysis, and reporting. The software is designed to handle a wide range of data types and offers a variety of statistical techniques, including descriptive statistics, regression analysis, and multivariate analysis.

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398 protocols using spss ver 17

1

Phenolic Profiles and Antioxidant Analysis

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Each treatment was replicated three times, and results were expressed as means ± SD. One-way analysis of variance (ANOVA) with Duncan’s test was performed to assess the significance of differences between means using SPSS ver. 17.0 at the 0.01 and 0.05 significance levels. Pearson correlations (0.01 and 0.05 significance levels) were performed in SPSS, and principal component analysis (PCA) was applied to separate the cultivars according to phenolic composition and antioxidant activity using SPSS ver. 17.0 and Minitab ver. 15.0.
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2

Saccharification and Fermentation Optimization

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The experimental data for saccharification as well as fermentation experiments was obtained in triplicates. Design Expert (version 6.0.9 Software, Stat-Ease, Minneapolis, MN 55413) was the main software employing two statistical tools i.e., ANOVA and regression to analyze data obtained by CCD.
To examine the experimental data from fermentation experiment, one-way ANOVA by the Dunkun’s Multiple Range test (SPSS ver. 17.0 Software) was used.
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3

Serum Biochemical Analysis Protocol

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All biochemical experiments were conducted in triplicates. The researchers expressed the serum biochemical data as the mean value ± standard error. They conducted the student’s t-test for comparing the average values. All statistical analyses were carried out using the SPSS ver. 17.0 software (SPSS Inc, Chicago, IL, United States). Results with p < 0.05 were considered to be statistically significant.
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4

Statistical Analysis of Research Data

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SPSS ver. 17.0 software (SPSS Inc., Chicago, IL, USA) was used for data analysis. All data are presented as the mean ± standard deviation. Groups were compared using single-factor analysis of variance (ANOVA). Pairs of groups were compared using the least significant difference test. A p-value < 0.05 was considered significant.
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5

Metabolomic Analysis of Biological Samples

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MZmine 2.0 software (14 (link)) was used for peak detection, alignment and normalization. The filter conditions were: Each chromatography peak signal-to-noise ratio >30, the retention time tolerance at ± 0.1 min and the m/z tolerance at ±0.01 Da. SIMCA-P+ ver. 12.0.1.0 software (Umetrics, Malmö, Sweden) was used to establish the principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) model of all the samples and the result was checked by cross validation described previously (15 (link),16 (link)). Preliminary selection of characteristic metabolites was accomplished using the corresponding variable influence on projection (VIP) value, confidence interval and coefficient plot generated by the OPLS-DA model. SPSS ver. 17.0 software (SPSS Inc., Chicago, IL United States) was used to evaluate the statistical significance of differences of the variances among diverse groups. The ROC curves were generated and the corresponding AUC was calculated. P<0.05 was considered to indicate a statistically significant difference.
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6

Statistical Analysis of Comparative Study

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The SPSS ver. 17.0 software (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Results are presented as mean±standard deviation values and frequency as numbers (in percent). The Z-test for proportions was used to compare the proportions between the two groups. A p-value of ≤0.05 was considered as statistically significant.
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7

Statistical Analysis of Biochemical Experiments

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The data analysis was performed using SPSS ver. 17.0 software (SPSS Inc., Chicago, IL) and GraphPad Prism 6.0 software (GraphPad Software Inc., San Diego, CA). Group comparisons for continuous data were done by t test or oneway ANOVA. Biochemical experiments were performed in triplicate and a minimum of three independent experiments were evaluated. The value of p < 0.05 was considered statistically significant.
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8

Comparing Early and Late MEP Prognosis

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Chi-square and independent t tests were performed to determine the differences between two groups in terms of sex, age, lesion side, days to MEP, and hemorrhage volume. Mann-Whitney test was used to compare MI scores between at onset and at six months after onset or changes of MI score for six months of the two groups. Chi-square test was performed to compare the distribution of prognosis between early MEP and late MEP groups. SPSS ver. 17.0 software (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses. Statistical significance was considered when p-value was less than 0.05.
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9

Comet Assay for Genotoxicity

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After staining, slides were observed under Epifluorescent microscope for scoring. Magnification power was adjusted to 40× and 50 cells were counted for each slide. Computer image analysis Casplab® software was used for scoring of cells and various parameters including Length Tail, Tail DNA and Olive Tail Movement. SPSS® (Ver. 17.0) software was used to statistically analyze the results. One Way ANOVA was used for all comparison of comet parameters and Post Hoc Test was used for the comparison of significant values of various parameters within groups and between groups.
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10

Factors Influencing Diabetic Retinopathy

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Continuous variables were expressed as mean ± standard deviation χ¯±s , and the comparison between 2 groups was made using a t-test. Categorical measures were expressed as percentage, and a chi-squared test was used for analysis. Binary logistic regression analysis was used to calculate crude and adjusted odds ratio (OR) to estimate the influencing factors of DR in hospitalized T2D patients. Statistical analyses were performed using SPSS ver. 17.0 software (SPSS Inc., Chicago, IL, US). A p value < 0.05 was considered to be a statistically significant difference.
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