The statistical significance (p-value) can provide a particular measurement for the difference in the variability. The correlation structure of the data set has a noticing effect on the latter.
Regarding Redman definition, Statistical significance assists quantify if a result is likely due to chance or to some factor of interest. In my opinion, to frame the data set with the general concept of Statistical significance, we need to consider the sampling error, which is related to sample size.
For conclusion part, the conclusion should include two parts: the Decision Reached, and conclusion about the parameter of Interest.
Regarding the calculation part: Tests of Significance based on Central Points can be considered as a decision about a population mean.
The statistical significance (p-value) can provide a particular measurement for the difference in the variability. The correlation structure of the data set has a noticing effect on the latter.
Regarding Redman definition, Statistical significance assists quantify if a result is likely due to chance or to some factor of interest. In my opinion, to frame the data set with the general concept of Statistical significance, we need to consider the sampling error, which is related to sample size.
For conclusion part, the conclusion should include two parts: the Decision Reached, and conclusion about the parameter of Interest.
Regarding the calculation part: Tests of Significance based on Central Points can be considered as a decision about a population mean.