Statistical analyses were performed using SPSS statistical software package standard version 16.0 (SPSS, Inc., USA). Statistical differences between two independent groups were determined using Student’s t-test. For multiple groups, the statistical analyses were performed by one-way analysis of variance (ANOVA) followed by Tukey’s test. Data were expressed as the mean ± standard deviation (SD). Experiments were performed in triplicate. P < 0.05 indicates statistically significant differences.
Spss statistical software package standard version 16
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for interactive, or batched, statistical analysis. It is a comprehensive and flexible statistical analysis and data management solution. The standard version 16.0 provides core statistical functionality for data analysis, reporting, and modeling.
Automatically generated - may contain errors
Lab products found in correlation
12 protocols using spss statistical software package standard version 16
1
Statistical Analysis of Experimental Data
2
Statistical Analysis of Biological Experiments
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were expressed as mean ± standard deviation from three independent experiments. Statistical analyses were performed using SPSS statistical software package standard version 16.0 (SPSS, Inc., Chicago, IL, USA). Experiments were performed in triplicate. Statistical differences between two independent groups were determined using Student’s t test. For multiple groups, the statistical analyses were performed by one-way ANOVA followed by Tukey’s test. Survival analysis was performed by using the Kaplan–Meier method. P < 0.05 was considered to indicate a statistically significant difference.
3
Assessing Pain Behavior and Histology
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Changes in pain behavior were expressed as means ± standard error of the mean (S.E.M.). Histological assessments and pain behaviors were represented using dot plots. One-way analysis of variance followed by Bonferroni’s post-hoc test was used to compare pain and histological scores. The Shapiro-Wilk test and Levene’s test were used to assess the Gaussian distribution and the equality of variance, respectively. Statistical analyses were performed using SPSS statistical software package standard version 16.0 (SPSS Inc., Chicago, IL, USA). P values ≤ 0.05 (two-tailed) were considered significant.
4
Diabetic AVP and RVP Correlation
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data were expressed as mean ± standard deviation (SD). Student’s t test was performed to compare the significant differences between the control and the diabetic groups. The correlation between AVP and RVP at both protein and gene expression levels was analyzed by Pearson correlation tests. Statistical analyses were performed using the SPSS statistical software package standard version 16.0 (SPSS, Inc., Chicago, IL, USA). P < 0.05 was considered to indicate a statistically significant difference.
5
Statistical Analysis of Arthritis Incidence
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data are presented as the mean ± standard deviation (s.d.). The Mann–Whitney U test or Student t-test was used for comparing values between two groups. One-way analysis of variance followed by Bonferroni's post-hoc test was used to compare the differences between three or more groups. To assess the Gaussian distribution and the equality of variance, the Shapiro–Wilk test and Levene test were used, respectively. Differences between arthritis incidences at a given time point were analyzed by the χ2 contingency analysis. The program used for the statistical analysis was the SPSS statistical software package, standard version 16.0 (SPSS, Chicago, IL, USA). P-values < 0.05 (two-tailed) were considered significant.
6
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were performed using SPSS statistical software package standard version 16.0 (SPSS, Inc., USA). The data are presented as the mean ± standard deviation (SD) from three independent experiments. Group statistical significance was assessed using Student’s t-test for comparison of two groups, one-way ANOVA for three or more groups. p < 0.05 was considered statistically significant.
7
Quantitative Histological Analysis of Tissue
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Three or four independent experiments were conducted and data are expressed as the mean ± standard deviation. Statistical differences among multiple independent groups were determined using one-way analysis of variance followed by a Dunnett's post hoc test. For the evaluation of histological scores, non-parametric statistical analysis (Kruskal-Wallis and Mann-Whitney U tests) was conducted. Statistical analyses were performed using SPSS statistical software package standard version 16.0 (SPSS, Inc., Chicago, IL, USA). P<0.05 was considered to indicate a statistically significant difference.
8
Statistical Analysis of Experimental Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All statistical analyses were performed using the SPSS statistical software package standard version 16.0 (SPSS, Inc., Chicago, IL, USA). The data are presented as the mean ± standard deviation from three independent experiments. Unpaired Student’s t-tests were used to analyse differences between two groups. A one-way analysis of variance followed by Tukey’s post hoc test was used to analyse differences among multiple groups. P<0.05 was considered to indicate a statistically significant difference.
9
Statistical Analysis of Pain Behavior
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The change of pain behavior is expressed as means±standard error of the mean (S.E.M.). Each value of histological assessments and pain behaviors was represented as a dot plot. One-way analysis of variance followed by Bonferroni's post-hoc test was used to compare pain and histological scores. To assess the Gaussian distribution and the equality of variance, Shapiro-Wilk test and Levene's test were used, respectively. The program used for the statistical analysis was SPSS statistical software package standard version 16.0 (SPSS Inc., Chicago, IL, USA). p-values less than 0.05 (two-tailed) were considered significant.
10
Statistical Analysis of Arthritis Incidence
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data are presented as the mean ± SEM. The Mann–Whitney U test or Student's t-test was used for comparing values between two groups. One-way analysis of variance followed by Bonferroni’s post hoc test was used to compare the differences between three or more groups. To assess the Gaussian distribution and the equality of variance, the Shapiro–Wilk test and Levene test were used, respectively. Differences between arthritis incidences at a given time point were analyzed by the χ2 contingency analysis. The program used for the statistical analysis was the SPSS statistical software package, standard version 16.0 (SPSS, Chicago, IL, USA). P-values < 0.05 (two-tailed) were 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!