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Spss for windows 11

Manufactured by IBM
Sourced in United States

SPSS for Windows 11.5 is a statistical software package designed for data analysis. It provides tools for data manipulation, visualization, and advanced statistical modeling. The software is compatible with the Windows operating system.

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63 protocols using spss for windows 11

1

Statistical Analysis of Serum and Tissue

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Statistical analysis was performed using SPSS for Windows 11.5 (SPSS Inc., Chicago, IL, USA). Data were presented with descriptive statistics including mean ± standard deviation (SD) for parametric data and median (range between 25% and 75%) for nonparametric data. The normality of the parameters in serum and tissue groups was analysed with the Shapiro-Wilk test. The parametric data were analysed with an Anova test and a Tukey post hoc test for binary comparisons. The nonparametric data were analysed with a Kruskal-Wallis test, and a Mann-Whitney U test was used for binary comparisons. A p value of <0.05 was accepted as statistically significant.
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2

Statistical Analysis of HFNC/NIMV Effects

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Data were analyzed with the package program SPSS for Windows 11.5. Descriptive statistics for normally distributed variables are shown as mean ± standard deviation, and for non-normally distributed variables as median (min-max); nominal variables are shown as number of cases and percentage (%). Mean values of continuous variables are compared using t tests; medians are compared using the Mann–Whitney U test or the Wilcoxon test, as appropriate. For more than 2 groups, mean values of continuous variables are compared using ANOVA variance analysis; medians are compared using the Kruskal-Wallis test. Nominal variables were assessed using Pearson Chi-square or Fisher exact test. The change in blood gas parameters and MDS score within 48-hour of HFNC/NIMV was investigated using repeated measures analysis. A P value <.05 is considered to be statistically significant.
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3

Anthocyanin Content Estimation in Fruits

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The fruits of 9, 18, 27 and 36 days after flowering were selected for estimating the anthocyanin content. The leaves of transgenic lines and wild lines were used for estimating the anthocyanin. Anthocyanin content was measured using the “Total Monomeric Anthocyanin Pigment Content of Fruit Juices, Beverages, Natural Colorants, and Wines” method (AOAC Official Method 2005.02) and calculated using data sets from three independent experiments. Statistical analyses of the obtained data were performed using the software package SPSS for Windows 11.5 with a 95% confidence interval [40 (link), 41 (link)].
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4

Statistical Analysis Methodology for Clinical Study

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Statistical analyses were performed with SPSS for Windows 11.5 (SPSS Inc., Chicago, IL, United States). Descriptive statistics were given as the mean ± SD [median (minimum-maximum)] for metric variables and frequency (percent) for categorical variables. Data from the questionnaires are expressed as the percent change [(postoperative months 15 to 18 – preoperative)/preoperative × 100]. To compare two (or more than two) independent groups in terms of metric variables, the Mann-Whitney U test (or Kruskal-Wallis analysis of variance) was used. When the Kruskal-Wallis test revealed a significant difference between the groups, a multiple comparison test was used to determine which groups differed from each other. Bonferroni correction was used for multiple testing. The Wilcoxon signed-rank test was used to evaluate within-group differences between ordinal variables. For categorical variables, independent groups were compared with the chi-squared test, and dependent groups were evaluated using the McNemar test. The degree of association between ordinal variables was evaluated by Spearman’s correlation coefficient. A P value of < 0.05 was considered statistically significant.
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5

Statistical Analysis Methodology Protocol

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All statistical analyses were performed using the SPSS for Windows 11.5 software program (SPSS Inc., Chicago, IL). For the quantitative variables, mean ± standard deviation and median (minimum-maximum) were used, and for the categorical variables, numbers (percentage) were used as descriptors in the study. The c2 test was used to examine the relationship between the two categorical variables. The significance level was set at p = 0.05.
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6

Statistical Analysis of Quantitative and Categorical Data

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All statistical analyses were performed using SPSS for Windows 11.5 software program (SPSS Inc., Chicago, IL). Compatibility of data with normal distribution was examined graphically and using the Kolmogorov-Smirnov test. Mean ± standard deviation and median (min-max) were used for the quantitative variables, an numbers (percentage) were used as descriptors for categorical variables in the study. When to look whether there was a statistically significant difference between the categories of a qualitative variable with two categories in terms of a quantitative variable, Student’s t-test was used if the normal distribution assumption was met; if not, Mann-Whitney U test was used. The chi-square test was used to examine the relationship between two categorical variables. Covariance analysis (ANCOVA) was used to see whether one or more continuous independent parameters had any impact on the dependent parameter. Receiver operating charcteristics curve analysis was used to find the discriminative factors between the groups. Significance level was set at p=0.05.
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7

Statistical Analysis of Patient Data

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Collected data were analyzed in SPSS for Windows 11.5 package program. Mean and standard deviations were calculated for numerical variables while frequency and percentage were calculated for categorical variables.
Informed consent was obtained from each patient.
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8

Statistical Analysis of Experimental Data

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The analysis of the data was performed using the SPSS for Windows 11.5 software
program. Descriptive statistics for continuous variables were shown as mean
± standard deviation or median (minimum-maximum), and categorical
variables were shown as the number of cases (%). Fisher's exact test was used
for the comparison of two proportions. The chi-squared test was used in the
analysis of quantitative data. Results were accepted as statistically
significant for p < 0.05.
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9

Medial Infracondylar Approach Success Rate

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The sample size of the present study was calculated based on block success rate, and the previous study reported 77% for subsartorial approach.[9 (link)] We estimated the success rate of 98% for medial infracondylar approach as a priori clinical assumption, and to power of 80% and α = 0.05, a sample size of n = 38 per group was required.
The data obtained from this study were assessed using Mann–Whitney U-test to compare the two independent groups from the nonparametric tests and their 95% confidence intervals (CIs). Descriptive statistics were expressed as the mean ± standard deviation. SPSS for Windows 11.5 (SPSS Software ver. 10.0 for Windows, SPSS Inc. Chicago, IL, USA) was used for the analyses. P ≤0.05 was considered significant.
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10

Comparative Statistical Analysis of Mean Values

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Comparisons of mean values were performed using the independent samples t test in SPSS for Windows 11.5 software (SPSS, Chicago, IL).
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