Our study provided an example in which it was possible to carry out a formal test, confirming that data were MNAR and that simple imputation was unsatisfactory in this situation.
This increment was indeed statistically significant in the formal test by pooling the two data together.
After obtaining the optimized transitive relation in the test run at an operating speed of 160 km/h, the load data obtained in a formal test at a speed of 200 km/h can be utilized to predict stress data.
This lack of fit indicates some multidimensionality in the data, and thus the formal test of local independence assumption (for a unidimensional scale) was not performed.
However, a formal test for sex interaction was not significant (p = 0.3, data not shown).
Almost everyone who conducts a thorough statistical analysis of behavioral test data will do so after taking at least one formal course on statistics.
In addition, a formal test of neutrality with correction for sampling bias was applied to the analyzed data set, which included two small groups of closely related bacteria.
A formal definition of MCDC is given in (9) based on the set of input test data.
For a more formal test of when regional means deviated significantly from the overall mean, we used the χ test, because the data were binomially distributed.
Participants had a practice before the formal test.
