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Hence, we refer to reported information on mean difference tests or correlation matrices.
Mean difference tests for baseline and dobutamine-stimulated haemodynamic/oxygen transport variables in survivors and non-survivors are shown in Table 2.
Statistical tests of difference in proportions or mean difference tests (or non-parametric equivalents) will be used to examine differences between intervention and control groups.
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However, studies using a hedging dummy variable routinely report the descriptive statistics for hedgers and non-hedgers or a mean difference test between both groups, consequently providing us with sufficient information to extract correlations.
Spike time shifts were considered significant when a mean difference test, based on Student's t-test, gave p<0.01.
As they were quite variable in between neurons, the differences across these populations were not significant (mean difference test as above).
Table 1 shows the summary statistics for main variables with a mean difference test between the groups.
The last column presents the p-values for the mean difference test between control and intervention groups.
In this paper, the default pair of non parametric statistics is used, which are the mean difference test and the Mann-Whitney U test.
Analyses which include both correlation and mean difference testing are needed in order to provide more conclusive evidence regarding the relationship between parent and child ratings.
To determine any differences in distribution patterns of response across the different diseases, responses of patients for individual diseases were analysed using the chi-squared test and a row mean difference test.
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