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Spss statistics for windows version 12

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SPSS Statistics for Windows, version 12.0 is a software application designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The software is intended to assist users in exploring, visualizing, and interpreting data.

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Lab products found in correlation

9 protocols using spss statistics for windows version 12

1

Intracameral Epinephrine for Pupil Redilation

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A paired t test was used to evaluate the efficacy of the single intracameral epinephrine injection for pupil redilation in the epinephrine group. An independent t test was used to compare the pupil areas before and after femtosecond laser pretreatment and after each phacoemulsification procedure. A chi-squared test was used to compare parameters such as sex and laterality of surgery. A P-value of <.05 was considered statistically significant, and all statistical analyses were performed using SPSS Statistics for Windows Version 12.0 (SPSS, Inc., Chicago, IL).
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2

Prognostic Factors in Adjuvant Chemotherapy

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Characteristic differences between the groups were compared using the independent t-test, Pearson`s chi-square test, or Fisher`s exact test. Survival curves were obtained using the Kaplan-Meier method, and were compared using the log rank test. Multivariate analyses were conducted using Cox`s proportional hazards model to assess the prognostic significance of adjuvant chemotherapy, and hazard ratios (HRs) and 95% confidence intervals (95% CIs) were estimated for each variable. Multivariate models were adjusted for age at diagnosis, surgery type, number of harvested lymph nodes, lymphatic invasion, vascular invasion, histologic grade, radiotherapy, and chemotherapy. All statistical tests were two-sided, and the statistical significance was set at P<0.05. All statistical analyses were performed using SPSS Statistics for windows, Version 12.0 (SPSS Inc., Chicago, IL, USA).
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3

Comparative Statistical Analysis Protocol

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All data are presented as the mean ± SD obtained from three individual experiments. The statistical analysis was done using the SPSS Statistics for Windows, Version 12.0 (SPSS Inc, SPSS Inc., Chicago, IL, USA). The different mean values were analyzed using the independent samples t-test and one-way analysis of variance (ANOVA). The Duncan Multiple Range Test (DMRT) was applied for mean comparisons. The significant differences were considered at p ≤ 0.05 (95% significance interval). Pearson’s bivariate correlation was used to determine the correlation coefficient (r).
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4

Clinicopathological Subgroup Survival Analysis

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Differences between the clinicopathological characteristic subgroups were compared using independent t-tests or Pearson's χ2 test. Survival curves were generated using the Kaplan-Meier method, and significance was determined using log-rank tests. Multivariate analysis was conducted using Cox's proportional hazard regression model for survival, with the hazard ratio (HR) and 95% confidence interval (CI) estimated for each variable. All statistical tests were 2-sided, and the significance was set at p < 0.05. All statistical analyses were performed using SPSS Statistics for Windows, version 12.0 (SPSS Inc., Chicago, USA).
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5

Cytokine Expression and Fluorescence Intensity Comparison

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Statistical analysis was performed using SPSS Statistics for Windows version 12.0 (SPSS Inc., Chicago, IL, USA). An independent t test was performed to evaluate the comparison of proinflammatory cytokine expression and quantitative comparison of FI of the SS between the two groups. Data are presented as mean and standard deviation (SD). Statistical significance was set at P < 0.05.
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6

Statistical Analysis of Plant Responses

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Chlorophyll fluorescence, N uptake, grain production and yield component data were subjected to analysis of variance (ANOVA). When F-test was significant (p < 0.05), comparison of means was performed by Student’s t-test using the software SPSS Statistics for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA).
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7

Comparative Statistical Analysis of Groups

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Statistical analyses were performed using SPSS Statistics for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA). Differences between groups were assessed with a one-way analysis of variance (ANOVA) and Tukey’s multiple tests (P<0.05). All data are represented as means±standard error of the mean (SEM).
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8

Kruskal-Wallis and Bonferroni Analyses

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The Kruskal-Wallis method and Bonferroni correction were performed using SPSS Statistics for Windows, version 12.0 (SPSS Inc., Chicago, IL, USA). The levels of significance were set to p < 0.05 for the Kruskal-Wallis method and p < 0.0055 for the Bonferroni correction.
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9

Comparing Pain Reduction Interventions

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The primary analysis was done for the within-group changes in pain score from T1 to T2 and T1 to T3 for each group using Student's t-test. The secondary analysis compared the between-group (intervention vs. control) change in pain score for both T1 to T2 and T1 to T3 using Mann–Whitney. The objective was to see which group had the more significant and hence effective pain reduction. All tests were two tailed with a significance level of 0.05. Analyses were performed using SPSS Statistics for Windows, version 12.0 (SPSS Inc., Chicago, Ill., USA).
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