The aim of the project is to investigate the correlation between multiple sets of data, the source of which is 2 data sets, 1 from New Zealand and 1 From Great Britain.

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Year 10 Maths statistics project

The aim of the project is to investigate the correlation between multiple sets of data, the source of which is 2 data sets, 1 from New Zealand and 1 From Great Britain.

Due to corruption of the original New Zealand Data, I opted to use a separate source, by searching for the New Zealand census in a search engine. This led me to

I used the following information from this source:

Gender

Age

Method of Travel (to/from school)

I put this information into a graph and attempted to arrange it as best I could into a format that would be easy to understand.

This data could be partially inaccurate or misleading as none of the variables have equal amounts of every possible option. For instance, the data contained far more females than males, therefore the “stacked” format of the graphs could suggest, for instance, that a certain option is more common among females than males when in reality it is more common among males, but is not shown due to the disproportion.

This graph shows that the most common method of travel is motor; it also shows that many more males than females travel by bike, and that travel by train is the least used method; due to the aforementioned bias in the data, it is relatively difficult to ascertain any conclusive information relating to ages. Despite this, the graph suggests that travel by bike is most common among the mid-ages; travel by bus shows a slightly older trend, along with motorcar, walking, and “other”.

I then rearranged the graph into a format that would ignore age; therefore directly comparing travel methods and also showing information about how gender affects method of travel.

Due to the disproportion in the data, it can be assumed that travel by bike and train are both more commonly used by males. Other than this, the graph should suggest that other methods of travel are more widespread among females, but taking the data into account, it can be concluded that these methods are somewhat equally used by both genders.

Hypotheses

1) From the evidence gathered from this basic, at-a-glance analysis, I think that males are more likely to travel by walking and by an “other” method than females; therefore, if the data is sampled down to an equal number of males and females, there will be more males travelling by these methods than females.

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2) I also believe that the same applies for females and travel by train; with an equal sample, there should still be more females than males travelling by this method

3) Finally, Due to the inconclusive amount of evidence relating to the correlation of age and method of travel, an estimate must be made; I believe that “bike”, “other”, and “motor” – using an equal sample of ages, will be generally more populated by younger ages

Testing the Hypotheses

  1. Because the data was in PivotChart table format, it would be impossible to delete certain ...

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