All statistical analyses were performed using the IBM SPSS Statistic software (v.23) and MATLAB software. Independent t-tests, factorial ANOVAs, included repeated measures (rm) ANOVAs, and mixed-model analyses were used where appropriate. The appropriate correction, Huynh-Feldt or Greenhouse-Geisser, was applied to violations of the sphericity assumption within rmANOVAs. With a statistically significant interaction between main factors, simple main effects were calculated post-hoc to provide clarification of statistically significant between-genotype and within-genotype differences. All data were analyzed for genotype and sex effects, and genotype interactions with sex are reported where significant. Multiple comparisons were Bonferroni adjusted. Probability value for all analyses was p < .05.
Spss statistic software v 23
Manufactured by IBM
SPSS Statistics (v.23) is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and presentation. The software is designed to handle a wide range of data types and offers a variety of statistical techniques, including descriptive statistics, advanced modeling, and data visualization.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using spss statistic software v 23
1
Genotype and Sex Effects Analysis
2
Statistical Analysis of Biological Replicates
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
IBM SPSS Statistic software v.23 was used for the statistical analysis of the means and standard error determinations. Data were subjected to the Student’s t-test when two means were compared or by one-way ANOVA followed by a Fisher’s LSD to find out differences among groups of means (P < 0.05). All the analyses are based on at least three biological replicates per each treatment (n ≥ 3).
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!