All statistical calculations were performed using GraphPad Prism 8 (GraphPad Software, Inc., La Jolla, CA, United States), StatView version 5.0.1 (SAS institute Inc., Cary, NC, United States) or InVivoStat version 3.7.0, [InVivoStat by Simon Bate and Robin Clarke, United Kingdom (Clark et al., 2012 (link))]. All values are represented as mean ± SEM in order to depict the uncertainty of the mean values. The Gaussian distribution of all data was tested using the normality plot in InVivoStat or GraphPad Prism. Normally distributed data were analyzed in the one-way analysis of variance (ANOVA) with Fisher post hoc analysis. Correlation analysis was performed using the Pearson parametric correlation test and expressed as pairwise Pearson correlation coefficient (r). p < 0.05 was considered to indicate significant statistical differences in all tests.
Invivostat
Manufactured by SAS Institute
Sourced in United States
InVivoStat is a data acquisition and analysis software system designed for use with a variety of laboratory equipment and instrumentation. It provides a comprehensive platform for collecting, managing, and analyzing data from various in vivo experiments and studies.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using invivostat
1
Statistical Analysis of Experimental Data
2
Behavioral Effects of Exercise
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Data are presented as mean ± SEM and were analysed using InVivoStat [30] as described below, with the exception of one-sample t-tests which were performed using SPSS (SAS Institute, Inc. V16.0) to compare the percentage of correct alternation, recognition and location indexes to chance level (50%). Details of the statistical tests used for each experiment are described below. Correlations between exercise levels and corticosterone or behavioural variables were also calculated using the Pearson correlation coefficient. Our statistically significant correlation coefficients were generally not very high as the data is generally restricted in range but can be considered stables since our sample size exceeded 20. An effect was considered significant when p values were ≤ 0.05 and post-hoc planned comparisons were used where appropriate.
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