Correlation Between Lessons and Number of Mistakes Made

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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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