this is for holding javascript data
Christine Perez edited Aside_from_the_hit_miss__.tex
over 7 years ago
Commit id: 4ebb0c6b43cc980dd6955092f1bfe29676184d6b
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Aside from the hit-miss evaluation, the researchers also included a rating for the overall performance of the system (see section 3.5.2). The researchers were able to discover an overall average of
86.\% 84\% rating of the prototype (See Table \textbf{_}). \\
\begin{table}
\begin{tabular}{ c c c c }
...
Question 2 & 162 & 180 & 90\% \\
Question 3 & 145 & 180 & 80.56\% \\
Question 4 & 155 & 180 & 86.11\% \\
Question 5 & 133 & 180 &
74.894\% 74.90\% \\
Overall & 756 & 180 & 84\% \\
\end{tabular}
\caption{Overall Rating Summary}
\end{table}
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The questionnaire can be found in Appendix \textbf{__}. The questionnaire was answered right after the testing phase of the study. There are a total of forty-five testers, each with corresponding questionnaire to answer. To conclude, Question No.1 has an average of 89.44\% which means that most of the users' found the game very interesting. An average of 90\% in Question No. 2 states that the information found inside of the game was beneficial to most of the users' as well. In Question No. 3, the researchers computed an average of 80.56\% which means that the environmental knowledge provided by the game was compatible with what is happening in the present. The 4th Question has an average of 86.11\% which states that the environmental information was somehow presented in a simplified and natural manner. Finally, Question No. 5 has an average of 74.90\% which means that most users' have already played a game similar to our system. Overall, the system's rating has an average of 84\% which makes the game playable but lacks some environmental knowledge, and uniqueness for the users. \\
Lastly, the researchers also included a statistical treatment which is the T-distribution for dependent samples statistics. Table \textbf{_} is a summary of results from the user's paired data. The researchers were able to determine that there is a significant difference between average knowledge of the samples after using the prototype. See Appendix \textbf{_} for basis of t-distribution table and Appendix \textbf{_} for the detailed raw data. \\