Editing Final Report/Thesis 2015 (section)

======Parametric Testing Results======
ANOVA One Way analysis was used in Microsoft Excel to compare letter frequency between texts, as well as ANOVA Two Way Analysis of Variance, where Factor 1 was the letter, Factor 2 was the text and the response was the letter frequency.  Both of these methods did not produce valid ''p-values'' as they used the comparison of total means and variances.
Paired data analysis using a paired sample t-test was researched and attempted based on the Engineering Maths IIA Notes.  This was computed using MATLAB, but also produced unusable ''p-values'' since the method uses mean and standard deviation of the differences between samples to calculate the ''p-value'', thus letter and text type data is lost in the process and so is not applicable.
The ''p-values'' calculated using these methods fluctuated depending on the type of data used.  If the raw number of letter frequencies for the sample text or code (44 letters) versus the ''Universal Declaration of Human Rights'' reference text (1000-2000 letters depending on language) was used, then the ''p-value'' became very small since the total means of each text were vastly different.  Whereas, if the frequency of each letter as a percentage of the total number of letters in each text were used, this gave a ''p-value'' of 1 since the means became the same.  Thus this method of mean comparison did not work for letter frequency analysis.