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Spss 11.0 for windows

Manufactured by IBM
Sourced in United States

SPSS 11.0 for Windows is a statistical software package designed to analyze and interpret data. It provides a comprehensive set of tools for data management, analysis, and reporting. The software is intended to be used by researchers, analysts, and professionals across various industries to gain insights from their data.

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130 protocols using spss 11.0 for windows

1

Gene Expression Analysis Protocol

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The results are expressed as means ± standard deviation or the means ± standard error of mean (for gene expression), and differences were considered significant when P < 0.05, as calculated by ANOVA with SPSS 11.0 for Windows (SPSS Inc., Chicago, IL).
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2

Statistical Analysis of Experimental Replicates

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At least three biological and technical replicates were conducted during all experiments. The statistical package for the social sciences (SPSS 11.0 for Windows, SPSS Inc., Chicago, IL, USA) was used for statistical analyses. The results of bar graphs are expressed as the mean ± standard error of the mean. Differences between groups were assessed using Student’s t-test. A one-way analysis of variance was conducted for the comparisons of multiple groups, followed by Tukey’s honest significant difference post hoc test. P-values less than 0.05 (p < 0.05) were considered statistically significant.
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3

Investigating Metabolic Responses in Cellular Stress

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Data are expressed as the mean ± standard error of the mean. Statistical significances were assessed using either the variance among multiple samples or q-test between groups. P<0.05 was considered to indicate a statistically significant difference. Analysis was performed using SPSS 11.0 for windows (SPSS, Inc., Chicago, IL, USA).
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4

Statistical Analysis of S100A7 Protein

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SPSS 11.0 for Windows (SPSS Inc., Chicago, Ill, USA) was used for all data analysis. The immunohistochemical results and their associations with clinical characteristics were analyzed using the chi-square test. Spearman’s rank test was used to analyze the correlation between protein phenotypes. The Kaplan-Meier method was used to analyze univariate survival, and comparisons of the survival distributions among groups were performed using the log-rank test. The prognostic significance of S100A7 expression with respect to other pathological variables was assessed using multivariate Cox regression analysis. The quantitative data are expressed as the mean ± S.D. Student t test was performed for 2 group comparisons, and analysis of variance test was performed when comparing 3 or more groups. All P values were 2-tailed, and values of P < 0.05 were considered statistically significant.
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5

Evaluation of Statistical Significance

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The data were collected from several independent experiments, with three replicates per experiment. All data were expressed as means + sd. Statistical significant effects (p value <0.05) were examined using t test in SPSS 11.0 for Windows (SPSS Inc., Chicago, IL, USA).
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6

Comparative Analysis of Experimental Treatments

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All data were expressed as means (n = 4) ± standard error of mean (S.E.M.). Comparison between groups were carried out by one-way analysis of variance using SPSS 11.0 for Windows (SPSS Inc., Chicago, IL, USA). Post-hoc Tukey’s honest (HSD) test was used to determine significant differences (p < 0.05).
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7

Rescue Morphine and Postoperative Sedation

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Statistical analyses were performed using statistical package (SPSS 11.0 for windows, SPSS Inc, Chicago). Data are presented as mean and standard deviation, median and range as appropriate. The primary end point of the study was the need for rescue morphine of the patients in PACU. The secondary outcomes were the degree of sedation of the patients in PACU, incidence of postoperative vomiting, and the time to reach Alderete score of >9. The number of patients in each group was determined by a power calculation based on the results of Qlutoye AO et al. [2 (link)]. It was calculated that 35 patients needed per group assuming an α risk of 0.05 and a β risk of 0.10 and mean difference of 50%. To account for exclusion of some patients, we enrolled 40 patients in each group. Demographic data compared using the Student’s t-test. MAP, HR, SpO2, MAC data were analyzed using two-way repeated measures analysis of variance (ANOVA). OPS, PAED, and PAED score were expressed as median values and compared with Mann-Whitney U test. Statistical significance was accepted when the P value was less than 0.05.
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8

Statistical Analysis of Experimental Data

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The statistical analysis was performed using SPSS 11.0 for Windows. The Kolmogorov-Smirnov test is used to confirm if the distribution is normal before the data are given as mean SD. The Mann-Whitney U test was used to assess differences between any two groups, and the Kruskal-Wallis test with Bonferroni correction was employed to compare more than two groups due to the anomalous distribution. To compare categorical data between two or more groups, the Pearson's st was utilized. The Pearson's chi-square test was employed to analyze categorical variable differences across study groups. Evaluations were made of the ROC curve's area under it, as well as its sensitivity and specificity. The highest joint sensitivity and specificity served as the basis for determining the cut-off value. The Kaplan-Meier technique and log-rank test were used to examine the follow-up data. A probability value of P0.05 was considered significant.
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9

Effects of EPSs on Cell Viability

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All experiments were performed in triplicates. Data were expressed as means ± SE. Differences between values of EPSs-treated versus untreated cells were compared by the One Way ANOVA and LSD test using SPSS 11.0 for Windows (SPSS, Inc., Chicago, IL, USA). Values with P< 0.05 were considered significant.
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10

Completely Randomized Design Protocol

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Completely Randomized Design (CRD) was used for the whole study. Samples were analyzed in triplicates. Statistical analysis was performed using one-way analysis of variance (ANOVA) using SPSS 11.0 for windows (SPSS Inc., Chicago, IL, USA). t-test was used for pair comparison.
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