<u>Answer:</u>
Give yourself a four second or me more cushion of space in front of your vehicle when following large vehicles that block your view of the road ahead.
<u>Explanation:</u>
- In order to ensure safety from the vehicles coming from the other side of the road when the road in front of you is blocked by an object bigger than your vehicle, it is advised that a space of at least four seconds is left between your vehicle and the vehicle ahead of you (both moving at an almost constant speed).
- This cushion of space between your vehicle and the other vehicle provides for space for safe skidding in case of emergency braking if required.
Answer: An estimated 12,000 workers had died during the construction of the Panama Railway and over 22,000 during the French effort to build a canal. Many of these deaths were due to disease, particularly yellow fever and malaria.
Explanation:
By 1866<span> all states were readmitted into the Union. </span>
Answer:
S-data; L-data
Explanation:
B-data (behavioral data), I-data (informants' data), S-data (self-report data), and L-data (life data) are the four types of psychometric data that are used by the researchers. These data helps the researcher for a better understanding of the behaviors and perceptions of the individuals.
S-data (self-report data) are the information that includes the political thoughts, beliefs, personality and attitude of the individual.
L-data (life data) includes the information related to the personal lives of the individual. It includes the academic information, occupational information, marital status, choice of recreation, children and personal preferences of the individual.
The answer to this quesiton is <span> oversimplify the contents.
Every social occurences that happen could always be analyzed through different point of view, which will make us understand why and how the occurence happens. When we only focus on the conclusion, we will ignore the point of view that presented by the opposite factors of your argument which make your research seem biased.
</span>
