Data were expressed as the mean ± SEM for each group. We tested for normality using Shapiro-Wilk's test and for homogeneity of variances using Levine's test. A paired samples t-test was used to compare two matched groups. Independent samples Student's t-test was otherwise used to compare two groups with Gaussian distribution. Fisher's exact test was used to assess survival differences between groups. Statistical analyses were performed using SPSS 19.0 for Windows software (SPSS, Inc., Chicago, IL). All reported P values were 2-sided and P < 0.05 was considered statistically significant and highly significantly different when P < 0.01.
Spss 19.0 software for windows
Manufactured by IBM
Sourced in United States
SPSS 19.0 software for Windows is a powerful statistical analysis tool designed for data management, analysis, and reporting. It provides a comprehensive set of features to help users analyze and interpret complex data, including advanced statistical techniques, data visualization, and reporting capabilities.
Automatically generated - may contain errors
90 protocols using spss 19.0 software for windows
1
Statistical Analysis of Experimental Data
2
Correlation of Sleep Apnea Severity with Clinical Variables
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analysis was performed with SPSS 19.0 for Windows software in a compatible computer. Data for continuous variables are presented as the mean ± SD or median and interquartile range, and categorical variables are presented as frequencies and percentages. One-way Kolmogorov–Smirnov test is conducted to test normal distribution within the groups. For the parameters of the normal distribution, the independent-samples t test is used for comparison, and for the parameters of the non-normal distribution, the Mann–Whitney U test is used for comparison. For comparisons involving categorical variables, use the chi-square test or Fisher's exact test based on the expected cell count. Linear regression analysis was used to evaluate the correlation between AHI and clinical variables, and the Pearson (r) coefficient values were obtained. Independent links between variables were determined by multiple linear regression analysis.. The coefficient of variation was used to assess the intra- and interobserver variabilities for RV GLS, RV LLS, RVEDV, RVESV and RVEF assessed by 2D-STE and RT-3DE in a sample of 20 patients.
All statistical tests were two-sided, and a p value < 0.05 was considered statistically significant.
All statistical tests were two-sided, and a p value < 0.05 was considered statistically significant.
3
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data were expressed as means ± standard error of the mean (SEM). Statistical analysis of the results was performed using SPSS 19.0 for Windows software (SPSS Inc., USA). Statistical significances between groups were determined by one-way analysis of variance (ANOVA) followed by Duncan's test. P <0.05 was considered to be statistically significant.
4
Serum Ferritin and Inflammation Indices
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We compared the continuous variables and categorical variables of clinical and biochemical characteristics, and the t-tests or Mann-Whitney U was used for between-group comparisons of continuous variables and the chi-square tests for categorical variables. Spearman correlation analyses were used to explore correlations between SF concentrations and the inflammation indices. Multivariate logistic regression analyses were used to estimate the odds ratios (ORs) for SF after adjusting for other clinical and biochemical variables. In addition, subjects were further stratified by BMI (<24.0 or ≥ 24.0 kg/m2) and the P values for the product terms between continuous SF levels and the BMI were used to estimate the significance of interactions.
Statistical analyses were performed using the SPSS 19.0 for Windows software package (SPSS, Chicago, IL). P values < 0.05 were considered statistically significant.
Statistical analyses were performed using the SPSS 19.0 for Windows software package (SPSS, Chicago, IL). P values < 0.05 were considered statistically significant.
5
Comparative Analysis of Cellular Responses
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were presented as the mean ± SD for at least three sets of separate experiments. Differences between groups were assessed using one-way ANOVA with a Tukey correction. Statistical analysis was performed using SPSS 19.0 for Windows software (SPSS Inc., Chicago, IL). p < 0.05 was considered to be statistically significant.
6
Statistical Analysis of Study Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The results of the study, SPSS 19.0 for WINDOWS software were used for statistical analysis. In assessing the study data, statistical methods (median, range, mean, standard deviation) and Mann–Whitney U test was used for intergroup comparison of quantitative measurements. Chi-square test and Fischer's exact test, where necessary, was used in a four-fold design to compare quantitative data. Friedmann test was used for intragroup changes in time. Results were evaluated by applying 95% Confidence Interval and p < 0.05 significance level.
7
Evaluating the Relationship between Soil, Mycorrhizal Fungi, and Nutrient Deposition
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis was performed using SPSS 19.0 for Windows software (SPSS Inc., Chicago, IL, USA) with a one-way analysis of variance (ANOVA) followed by least significant difference (LSD) to establish quantitative differences between treatments. The relationship between soil characteristics, AMF root colonization rates, and spore density were tested using the Spearman’s correlation. Two-way ANOVA was performed to evaluate the combined influence of N deposition level and P addition on AMF root colonization rates and spore density. All data were tested for homogeneity of variance and normality of distribution prior to conducting the ANOVA. The data satisfied the assumption of homogeneity of variance. The images were all produced by SigmaPlot 12.5 (Systat Software Inc., San Jose, CA, USA).
8
Plantar Loading Distribution in Arch Types
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Prior to experimental data collection, a power of the test analysis was conducted using G*Power version 3.1 software (Franz Faul, Christian-Albrechts-Universität Kiel, Kiel, Germany) and the power value recorded as a result was 0.8. The statistical results were analyzed using SPSS 19.0 for Windows™ software (SPSS Inc., Chicago, IL, USA). Shapiro–Wilks tests were applied to check normal distribution for all variables. Independent-sample t tests were used to analyze the significance of plantar loading distribution between the stiff arches and flexible arches group, and a p-value of less than 0.05 was significant for all analyses. In addition, Cohen’s d effect size (ES d) for each variable was also calculated using G*Power. For the effect size, values of 0.2, 0.5, and 0.8 were interpreted as small, moderate, and large, respectively [26 ].
9
Comparative Analysis of Surgical Outcomes
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
For continuous variables, comparison between the 2 groups was performed with an independent t-test or one-way analysis of variance. For categorical variables, the Chi-square test (or Fisher's exact test for small samples) was used. Dunnett's t-test was performed to compare changes from the preoperative values of the JOA, NDI, VAS, and radiographic parameters within the groups. The statistical analysis was performed using the SPSS 19.0 for Windows software (SPSS Inc., Chicago, IL). A P value of .05 was considered significant.
10
Quantitative Assessment of Cardiac Repolarization
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were conducted using SPSS 19.0 for Windows software (SPSS Inc., Chicago, IL, USA). The data are presented as mean, standard deviation, median, range, percentage, and number. The distribution of continuous variables was evaluated using the Kolmogorov–Smirnov or Shapiro–Wilk test. Normally distributed data of two independent groups were compared using the independent samples t-test; the Mann–Whitney U test was used if the data were non-normally distributed. Intra- and inter-observer variabilities for QT, QTc, QTd, and Tp–Te interval measurements in all patients were estimated according to the Bland and Altman method. A p-value of <0.05 was considered significant.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!