Project Report: Statistical Analysis for GENG 200, Fall 2016

This project report, prepared for GENG 200 in Fall 2016, presents a comprehensive statistical analysis and interpretation of data. The report begins with an abstract summarizing the project's objectives, statistical methods, and outcomes. It involves computing and interpreting sample statistics such as mean, variance, standard deviation, median, and range, alongside the construction and interpretation of various visual data displays including stem-and-leaf plots, frequency distributions, histograms, box plots, and time sequence plots. The project also includes a normal probability plot test to assess whether the selected data sample follows a normal distribution. All statistical computations and visualizations are performed using either Matlab or Minitab software. The report includes an introduction discussing the importance of statistical analysis in engineering, followed by a description of the data sample used. The core of the report comprises detailed explanations of statistical methodologies, sample diagrams and plots, and the normal distribution probability plot, along with the results, discussions, and interpretations of the findings. The report concludes with a summary of the key points and suggestions for potential applications and extensions, referencing various academic sources.


Abstract—The abstract should mention in a snapshot what is
included in the paper in terms of project overall objective, the
statistical procedures, and the final outcomes of the work. It
should not be more than 20 lines using this exact same font.
In this project, the aim is to perform some statistical analysis
and interpretations based on the covered topics in Chapter 6
from your textbook. The sample mean, variance, standard
deviation, median and range will be computed and interpreted.
Moreover, visual data displays will be constructed and
interpreted which are the stem-and-leaf display, the frequency
distributions and histogram displays, box plots and time
sequence plots. Finally, the selected sample of data will be tested
to conclude whether they follow a normal distribution or not
through using a normal probability plot test. All the statistical
computations, diagrams and plots will be carried out using
Matlab or Minitap Softwares.
I. INTRODUCTION
HIS is an introduction about the importance of
statistical computations and interpretations in
engineering. A table of the selected sample of data should be
added. Moreover, a description of this sample should be added
as well (what does it represent, number of observations, from
where it has been extracted from etc.). The sample size should
be consisting of at least 100 observations. Again use the same
format (font, line spacing, …etc) used here. The introduction
should not be more than one column only. Do not change the
font sizes or line spacing to squeeze more text into a
limited number of pages. Use italics for emphasis; do not
underline.
T
To insert images in Word, position the cursor at the
insertion point and either use Insert | Picture | From File or
copy the image to the Windows clipboard and then Edit | Paste
Special | Picture (with “float over text” unchecked).
II.STATISTICAL METHODOLOGIES
A. Sample Statistical Computations
Description of each one of the previously mentioned
statistical computations & their equations should be included
in this sub-section.
B. Sample Diagrams/Plots
Description of each one of the sample display methods
should be included in this sub-section.
C. Normal Distribution Probability Plot
A detailed description of the normal distribution probability

test should be added here etc.
III. STATISTICAL RESULTS & DISCUSSIONS
All the computed results & developed diagrams/plots and
their corresponding comments & discussions should be
covered under this section (follow the same order of section II;
i.e. you should have 3 sub-sections). This section is the core of
your project; make sure to explain and interpret the results as
possible. All the figures and tables should be
labeled/captioned in a proper way.
IV. CONCLUSION
A conclusion may review the main points of the project, do
not replicate the abstract as the conclusion. A conclusion
might elaborate on the importance of the work or suggest
applications and extensions as well as outcomes of the project.
REFERENCES
[1] G. O. Young, “Synthetic structure of industrial plastics (Book style with
paper title and editor),” in Plastics, 2nd ed. vol. 3, J. Peters, Ed. New
York: McGraw-Hill, 1964, pp. 15–64.
[2] W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA:
Wadsworth, 1993, pp. 123–135.
[3] H. Poor, An Introduction to Signal Detection and Estimation. New
York: Springer-Verlag, 1985, ch. 4.
[4] B. Smith, “An approach to graphs of linear forms (Unpublished work
style),” unpublished.
[5] E. H. Miller, “A note on reflector arrays (Periodical style—Accepted for
publication),” IEEE Trans. Antennas Propagat., to be published.
<Your paper title here>
<Student name>, <student number>, <student name>, <student number>, …
Project Report for GENG 200 Fall 2016
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