Editing Final Report/Thesis 2018 (section)

=== Method ===
The approach to determine if the mysterious code represents collective objects, will be done by calculating the p-value and implementing hypothesis testing. In the case of the horse names, there were no direct websites, which provided horse names in the year of 1948. This led to discovering evidence of these names within relevant newspapers and articles. This was done by using ‘Trove’, a search engine to help find resources in Australia. More specifically, in this case it was used to obtain articles and newspapers from 1948. The other collective objects, as mentioned above, were found using South Australian government websites. This led to an abundance of cross checking, to make sure that the list which was going to be utilised, was indeed correct.  
Matlab was used as the software tool. The initial letter of the each collective object was all that was needed, where using code was implemented to perform this task. In the case, where a collective object had multiple words, both words were included. Also if there was any extra punctuation, it was removed. A demonstration is shown in Figure 7, which illustrates the input and output results for the horse names case and also displays the frequency of each letter.
[[File:ZFigure7.jpg|thumb|500px|center|Figure 7. Matlab Results]]
Excel was used, to produce the statistical results from Matlab. The letter frequency will be obtained by dividing the amount of each letter over the total amount calculated, where then a p-value test was performed and a comparison graph was completed.