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© 2014 Pacific Crest
325
Step
Watch it Work!
4.
Produce relevant
graphs (con’t)
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5.
Identify data
analysis tool
Spreadsheet; the data universe is small and easily manipulated
6.
Transform the data Convert to percentages and then sort
7.
Produce
preliminary
analysis
The number of distractions depends on the time of driving; 60% of
distractions were during the morning drive time.
Cell phone use accounts for almost half of the distractions.
Grouping driving behaviors (failure to yield, following too close, lane issues,
too fast, swerving, other important actions, poor visibility, fatigue) shows
that two-thirds of reported reasons for distracted driving are based on
driving skills.
Inattention, distracted, and unknown account for one third of the reported
reasons.
We can’t say that the distraction or inattention was due to the cell phone
even though we know that it is half the characteristics of inattention or
distraction
8.
Identify data
shortcomings
College students rather than professional researchers collected the data.
The number of observations was fairly small. We cannot be certain to what
degree inattention was caused by technology versus day dreaming or
simply not paying attention. It may not be fair to claim that inattention and
phone use are related. Might drivers be less-than-honest when asked the
primary reason for an accident? An additional study would be needed.
9.
Report findings
and generate new
questions
47% of the cases of distracted driving were attributable to phone use.
Clearly the phone was a significant contributor to distracted driving.
Inattention was the most often quoted reason for an accident. This reason
and the distraction reason may have been influenced by phone/electronic
use. It may be reasonable to claim that phone use is a factor is motor
vehicle accidents.
7.3 Data Analysis