The largest database of trusted experimental protocols

Spss 14.0 statistical package

Manufactured by IBM
Sourced in United States

SPSS 14.0 is a comprehensive statistical analysis software package developed by IBM. It provides a wide range of statistical analysis tools, including regression analysis, factor analysis, and data mining techniques. The software is designed to help users analyze and interpret complex data sets quickly and efficiently.

Automatically generated - may contain errors

Lab products found in correlation

6 protocols using spss 14.0 statistical package

1

Statistical Analysis of Experimental Protocols

Check if the same lab product or an alternative is used in the 5 most similar protocols
All experiments were performed for a minimum of three times and results have been presented as mean ± SE. Statistical analysis was performed using SPSS 14.0 statistical package (SPSS Inc., USA).
Statistical significance of the results was determined using student t-Test. Differences were considered statistically significant at (*p < 0.05).
+ Open protocol
+ Expand
2

Comparative Statistical Analysis of Biological Samples

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data were expressed as mean ± SEM. Data were tested for normal distribution with the Kolmogorov–Smirnov test. Parametric (Student's t-tests, ANOVA and Bonferroni post-hoc test) or non-parametric tests (Wilcoxon, Mann–Whitney, and Kruskal–Wallis tests) were used; non-parametric tests were applied to compare diameter and length data among experimental groups. The statistical analysis was carried out by SPSS 14.0 statistical package. Statistical significance was set at p < 0.05.
+ Open protocol
+ Expand
3

Evaluation of Rat Biochemical Markers

Check if the same lab product or an alternative is used in the 5 most similar protocols
Rat weight, climbing pole height, BUN concentration, the activities of ChAT, ChE, ALT, AST, CK, HK, ICDH, HBDH, T-SOD, and the T-AOC in rat serum were evaluated using the 1-way analysis of variance followed by Tukey HSD Post Hoc Test for repeated measures. All data analyses were performed using the SPSS 14.0 statistical package (SPSS Inc). P values <.05 were considered significant.
+ Open protocol
+ Expand
4

Comparative Analysis of Experimental Groups

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data were expressed as mean ±standard error of mean (SEM). Data were tested for normal distribution with the Kolmogorov-Smirnov test. Parametric (Student’s t tests, ANOVA and Bonferroni post hoc test) or nonparametric tests (Wilcoxon, Mann-Whitney and Kruskal-Wallis tests) were used; nonparametric tests were applied to compare diameter and length data (median, max and min values) among experimental groups. The statistical analysis was carried out by SPSS 14.0 statistical package. Statistical significance was set at p<0.05.
+ Open protocol
+ Expand
5

Evaluation of Therapeutic Compounds

Check if the same lab product or an alternative is used in the 5 most similar protocols
All experiments were performed for a minimum of three times and results have been presented as mean ± SE. Statistical analysis was performed using SPSS 14.0 statistical package (SPSS Inc., Chicago, IL, USA). Statistical significance of the results was determined using one-way ANOVA by Tukey’s multiple comparison test. Differences were considered statistically significant at P<0.05.
+ Open protocol
+ Expand
6

Comprehensive Statistical Analysis of Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analyses were performed using the SPSS 14.0 statistical package (SPSS Inc., Chicago, IL, USA). Descriptive analyses consisted essentially of frequency tables. Continuous variables were described by mean, standard deviation (SD), median and range.
Categorical variables were compared using the chi-squared test, and continuous variables by Student's t-test. Correlation between variables was evaluated using Spearman's correlation coefficient. A p<0.05 was considered significant.
+ Open protocol
+ Expand

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

Sign up now

Revolutionizing how scientists
search and build protocols!