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Statistical Treatment of Data

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Statistical Treatment of Data
This part of the research discussed the way on how the results and methods in the
questionnaire collected were organized in the next chapter. This study used the following
statistical tools to measure the validity of data gathered through questionnaires. The
statistical tools used in this study were Descriptive Statistics, Comparative Analysis, Data
Visualization, and Interpretations of result.
Descriptive Statistics: This will be used to summarize the evaluations of Banana
Peel Paper and Typical Bond Paper. Measures such as mean, standard deviation, and
range will be calculated for each property (color, texture, and durability). Descriptive
statistics provide an overview of the characteristics and distribution of the evaluations.
Comparative Analysis: This will be conducted to assess the differences between
Banana Peel Paper and Typical Bond Paper in terms of color, texture, and durability.
Statistical test such as t-tests can be used to compare the mean scores or rankings
between the two paper types. This analysis will help determine if there are significant
differences in these properties.
Data Visualization: Graphical representations such as bar charts or box plots can
be created to visually compare the evaluations of Banana Peel Paper and Typical Bond
Paper. These visualizations provide a clear and concise summary of the differences in
color, texture, and durability between the two paper types.
Interpretation of Results: The results obtained from the statistical analyses will
be interpreted to draw conclusions regarding the evaluation of Banana Peel Paper and
Typical Bond Paper. The focus will be on identifying any significant differences in color,
texture, and durability and discussing their implications for the potential use of banana
peel as an alternative to paper.
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