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Spss 15.0 for windows program

Manufactured by IBM
Sourced in United States

SPSS 15.0 for Windows is a statistical software program that provides a comprehensive set of tools for data analysis, reporting, and modeling. It is designed to simplify the process of data management, analysis, and interpretation, making it a valuable resource for researchers, analysts, and decision-makers across various industries.

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Lab products found in correlation

14 protocols using spss 15.0 for windows program

1

Statistical Analysis of Postoperative VAS

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Minimal clinically significant difference for postoperative VAS between groups was accepted as one (estimated standard deviation was 1,5). Cohen's d was 0,66 and the minimum number of patients for each groups was 38 for 80% power. Nonparametric variables of the patients were expressed as a percentage, and parametric variables were expressed as mean ± standard deviation. The normal distribution was assessed by the Kolmogorov-Smirnov test. When comparing groups, independent-sample t-test was used when the distribution was normal, while when it was not normal Mann–Whitney U test was used. The χ2 test was used to compare the nonparametric data of the groups. Fisher's exact test was preferred when the nonparametric variables were below 5 during the comparisons. For evaluating effects of the operation on the SF-36 quality of life index, when the distribution was normal the paired-sample t-test was used; otherwise Wilcoxon Rank Sum test was used. A value of p < 0.05 was considered statistically significant. All analyses were performed using the SPSS 15.0 program for Windows (SPSS Inc., Chicago, IL, USA).
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2

Analysis of LIMK1 and Destrin Correlation

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All analyses were performed using the SPSS 15.0 program for Windows software package (SPSSInc., IL, USA). Statistical significance between groups within experiments was determined using the one-way analysis and Student t test. The chi-square test was used to determine whether two groups had distinct gene expression levels. The Spearman’s rank correlation test was used to determine the correlations between LIMK1 and destrin. The survival was estimated using the Kaplan–Meier method and compared using the log-rank test. A P value of < 0.05 was considered statistically significant.
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3

Comprehensive Statistical Analysis Protocol

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All analyses were performed using SPSS 15.0 program for Windows software package (SPSS, Chicago, IL, USA). Statistical significance among groups was determined by the One-way ANOVA and Student t-test. The chi-square test was used to determine whether two groups had distinct gene expression levels. Survival was estimated using the Kaplan-Meier method and compared by log-rank test. Multivariate logistic analyses using a stepwise Cox regression model after adjusting for baseline characteristics. A P-value of < 0.05 was considered statistically significant.
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4

Statistical Analysis of Numerical Data

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SPSS 15.0 program for Windows program was used for statistical analysis. Descriptive statistics: the number and percentage for categorical variables, mean, standard deviation, minimum, maximum for numerical variables were given. Mann Whitney U test was used for the comparison of numerical variables in two independent groups, since no normal distribution condition was provided. The ratios were compared with Chi-Square analysis. Statistical alpha significance level was accepted as p < 0.05.
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5

Statistical Analysis of Categorical Data

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SPSS 15.0 for Windows program was used for the statistical analysis. Descriptive statistics were given as numbers and percentages for categorical variables. Comparison of rates in dependent groups was made using Mc Nemar Analysis. The consistency of the results was analyzed with Cohen’s Kappa compliance test. The level of alpha significance level was set at p<0.05.
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6

Statistical Analysis of Categorical and Numerical Data

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SPSS 15.0 for Windows program was used for statistical analysis. In descriptive statistics, categorical variables were expressed as numbers and percentages and numerical, variables as median, minimum and maximum. Since numerical variables did not meet the normal distribution condition in the groups, independent comparisons of more than two groups were performed by Kruskal Wallis test. The ratio of categorical variables between the groups was tested by chi-square analysis. The level of statistical significance was accepted as p<0.05.
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7

Statistical Analysis of Categorical and Numerical Data

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SPSS 15.0 for Windows program was used for statistical analysis. Descriptive statistics were presented as number and percentage for categorical variables, and mean, standard deviation, minimum, maximum for numerical variables.
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8

Statistical Analysis of Categorical and Numerical Data

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SPSS 15.0 for Windows program was used for statistical analysis. For descriptive statistics, number and percentage were used for categorical variables, and mean, standard deviation, minimum, maximum were used for numerical variables. Since numerical variables did not meet the normal distribution condition, comparisons of two independent groups were made using the Mann-Whitney U test, and in more than two groups, Kruskal Wallis test was used. Subgroup analyzes were performed with the Mann-Whitney U test and interpreted with Bonferroni correction. The ratios in the groups were compared by Chi-Square Analysis. Statistical significance was accepted as p<0.05.
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9

Statistical Analysis of Research Data

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SPSS 15.0 for Windows program was used for analyzing the data. Distribution of data was performed analyzing with Kolmogorov–Smirnov test. The data was presented as mean ± standard deviation for numerical variables and as percentage for categorical variables. Independent sample test and Mann Whitney U test were used for analyzing data with a normal distribution and non-normally distributed data. Categorical variables were evaluated using Chi-square test. P < 0.05 value was considered statistically significant.
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10

Statistical Analysis of Categorical and Numerical Data

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SPSS 15.0 for Windows program was used for statistical analysis (Manufacturer city-states where the company is located in Istanbul/Turkey) descriptive statistics; number and percentage for categorical variables, and numerical variables as mean, standard deviation, minimum, maximum, and median. The rates in independent groups were compared using the Chi-square test. Since the numerical variable did not meet the normal distribution condition, comparisons of two independent groups were made using the Mann–Whitney U-Test. Statistical significance level of alpha was accepted as p<0.05.
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