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Statistics for windows version 20

Manufactured by IBM
Sourced in United States

Statistics for Windows, version 20, is a software package designed for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is intended for use in a variety of settings, including academic, research, and business environments.

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7 protocols using statistics for windows version 20

1

Statistical Analysis of Inter-Rater Reliability

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IBM Statistics for Windows version 20.0 (IBM Corp., Armonk, NY, USA) was used for data analysis. Descriptive statistics characterized the patients, and the intraclass correlation coefficient (ICC)
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assessed the inter-rater agreement. Reliability was classified as unacceptable (< 0.70), acceptable (between 0.71 and 0.79), very good (between 0.80 and 0.89), or excellent (> 0.90).
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2

Statistical Analysis of Research Data

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Statistical analysis was performed by using descriptive and inferential statistics, Chi-square test, and fisher's exact test. Software used was SPSS17.0 (IBM Corp. Released 2011. IBM Statistics for Windows, Version 20.0: Armonk, New York, United States) and graph pad PRISM 5.0 version and P < 0.05 was considered as the minimum level of significance.
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3

Comparison of Endotracheal Tube Cuff Pressures

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A sample size of minimum 35 in each group was calculated using Open epi software, with the power of 80% and confidence interval of 95% based on the study by Borhazowal et al.[12 ] Sample size was calculated to estimate the mean difference in cuff pressures and volumes between three groups (P, SG, AL) using standard deviation (SD) of 2 ml for mean volumes and SD 12 cm H2O for mean pressures.[12 ] Considering a dropout of 10%, a total of 120 patients were enrolled in the study. [Figure 2] Statistical analysis of the data was done using the software, IBM SPSS (Statistical Package for the Social Studies) Statistics for Windows, version 20 (IBM Corp., Armonk, N.Y., USA). Continuous variables were summarized using mean (SD) and analyzed using a one-way ANOVA test. Categorical variables were summarized as proportions and analyzed using Pearson’s Chi-square/Fisher’s exact test. Posthoc analysis was done using one-way ANOVA test whenever applicable.
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4

Evaluating Cell Viability and Death

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Data regarding cell viability were entered into Microsoft Excel and analyzed using IBM SPSS (Statistical Package for the Social Sciences) Statistics for Windows, Version 20 (IBM Corp., Armonk, N.Y., USA). Data was analyzed for normality using the Kolmogorov–Smirnov test. Descriptive statistics were determined. Cell viability was determined while using BNPs, BNPs+4Gy and X-ray dose under various concentrations. Percentage of apoptosis and mitotic catastrophe were analyzed across BNPs, 4Gy, BNPs+4Gy, H2O2, H2O2+4Gy and control groups. The viability of cell death (%), percentage of apoptosis and mitotic catastrophe were analyzed across various concentrations using Kruskal–Wallis H statistic test followed by multiple comparisons with Dunn–Bonferroni post hoc test (α=0.05). The level of statistical significance was determined at p<0.05. All measurements were carried out in triplicate and presented as the mean ± standard deviation (SD).
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5

Diagnostic Efficacy of Imaging Modalities

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The diagnostic efficiencies of TVS, TVS Doppler, and MRI were assessed in terms of sensitivity, specificity, positive predictive value (PPV), negative PV (NPV), and diagnostic accuracy (DA), and were compared using the Chi-square test and Fisher’s exact test. P < 0.05 was considered statistically significant. Statistical analysis was done using IBM (International Business Machines Corporation, Armonk, New York, United States), SPSS (Statistical Package for Social Sciences) Statistics for Windows, version 20.
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6

Pap Smear Cytological Analysis

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The PAP test has been widely applied all over the world in the diagnosis of precancerous and cancer lesions. Identification of PAP-stained smears was performed at ×40.
The epithelial atypia can be considered with the presence of one or more of following features: hyperchromatism, increased nuclear-cytoplasmic ratio with nuclear enlargement, chromatin clumping with moderately prominent nucleolation and irregular nuclear borders, bi- or multi-nucleation, increased keratinization and scantiness of the cytoplasm, and variations in size and/or shape of the cells and nuclei.
The obtained data were tabulated and statistically evaluated using statistical software IBM SPSS IBM Corp, Statistics for Windows, Version 20.0. Armonk, NY, USA: IBM Corp, and using t-test.
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7

Statistical Analyses of Patient Data

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Statistical analyses were performed using IBM Statistics for Windows, Version 20.0 (IBM Corp., Armonk, NY). Means, standard deviations, and 95% confidence intervals (CIs) were computed for continuous data (e.g., age, VAS), while rates were calculated for categorical data (e.g., sex). Group differences were tested using Student t-test (continuous variables) while associations were compared using chi-square or Fisher exact test (categorical variables). A p-value <0.05 was considered statistically significant.
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