Correlation Between Lessons and Number of Mistakes Made
Introduction
This experiment has the aim of proving the hypotheses (that I shall
develop) by handling data and managing it effectively to instigate
realistic results. The hypotheses will be based upon test results from
a driving school.
Hypotheses:
I hypothesize that the number of mistakes made by people will decrese
if the number of hours that they spent on lessons increased. This is
because more lessons will instigate an increase in driving experience
and henceforth reduce the number of mistakes that are made. This is
negative correlation. This can be split into 2 further hypotheses.
I can predict that males will have a weaker negative correlation than
females as they are naturally better drivers and would not gain as
much from the lessons.
The instructors will have an effect upon the correlation as well.
Different instructors will affect people differently. Also, different
instructors will have different effects on males and females.
Sampling:
I shall use stratified sampling to split the categories into
instructor groups and then into gender groups within the instructor
groups. These 8 categories will each have ¼ of the results taken by
systematic sampling (after all the data within the category has been
sorted according to lesson time spent); every 4th result will be
taken. This method will reduce the data into a more easily useable
sample and it will retain the diversity and proportion of the original
results.
This is the sample
Gender
Lesson Time (hrs)
Mistakes in test
Instructor
Day
Time
F
5
27
A
Fri
14
F
10
14
A
Thur
10
F
12
13
A
Thur
17
F
15
15
A
Tue
15
F
16
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