Traumatic brain injury is the result when the brain tissues get damaged due to certain blows to the head (Anderson). According to Anderson in her article Traumatic Brain Injury: Complex Condition with Lasting Effects, among the leading contributors to traumatic brain injury are “unintentional falls, motor vehicle traffic incidents, and assaults”.
In the said article, many different numeric descriptions have been presented. More specifically, the article provides the readers with different measures of central tendency, namely the mean, median and mode, thus giving the readers enough information about the topic and the population being described. For each of the three leading contributor to traumatic brain injury, the article describes the different age groups and the frequency of occurrence of the injury to each group. The mode, i.e. the age group with the highest number of occurrences of traumatic brain injury was identified. Since this data is purely categorical, using the mode to describe the data was indeed appropriate (Dodge 2008).
The median was also used in order to describe the occurrence of traumatic brain injury. With the age ranging from zero to 91 years old, the median age was 23 years. That is, 50% of the total numbers of incidence occur for those below 23 years old, while the other 50% occur for those people who are above 23 years old. Since the data is ordinal in nature, the median was an appropriate measure of central tendency.
The average time that it takes for blood to clot, or the mean International Normalized Ratio (INR), was calculated based on the different Glasgow Coma Scores (GCS) groups. Different groups had different mean INR. For the group with Glasgow Coma Scores of below 8, the average INR was 6.0. For this data, the mean was an appropriate measure to be used, since the INR is neither nominal nor ordinal in nature. Moreover, although it was not explicitly stated, the median INR for the group with GCS of below 8 was presented in the article.
Since the mean and the median of this data are not equal, one can say that the data is not normally distributed, since a data can be considered as having a normal distribution when its mean, median and mode are all equal (Dodge 2008).
Aside from employing measures of central tendency, this article presented one measure of variation, which was the range. The article explored the occurrence of late post-traumatic seizures (LPTS). It was found out that the percentage of civilian patients who experienced LPTS ranged from 5 percent to 18.9 percent. On the other hand, the percentage of military patients who experienced LPTS ranged from 32 percent to 50 percent. From this data, it can be concluded that LPTS occurs more frequently for the military personnel, as compared to the civilian population. After having reviewed the statistics that were used in the given article, one would agree with the conclusions that were made in the study. Since the conclusions were based on adequately used measures of central tendency and measures of variation, there is no need to question the conclusions that the researchers have come up with.

Reference:
Andersen, J. M. Traumatic brain injury: complex condition with lasting effects. Journal of Controversial Medical Claims, 16, 5-15.
Dodge, Y. (2008). The Concise Encyclopedia of Statistics. Switzerland: Springer Reference.