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(Solved) Group Project: Queensland Flying Fox Monitoring 300700 Statistical Decision Making, Autumn 2017 Due: Friday of Week 13 (19 May) a camp and the...


Hello i need help with two of my assignments thats due this Friday, can you help me?

one of it is statistical decision making im doing question five and the other one is Object orientated Analysis it has 8 project work and im doing the Maintenance side

Group Project: Queensland Flying Fox Monitoring
300700 Statistical Decision Making, Autumn 2017
Due: Friday of Week 13 (19 May)
a camp and the proportion of Little Red Flying Foxes in
that camp is non-zero. This Group Project is about data on flying fox populations
obtained from the Queensland Government website1 .
The data set FlyingFoxMonitoring provided with this
project in csv format contains data on the population sizes of
three species of flying foxes at various locations. Interpret your results. 4
1 Load and clean up data [2 marks] Use concepts related to linear regression to test at
a significance level of 1% whether there is evidence that the
number of flying foxes at the Indooroopilly Island camp (EHP
CampId 68) has decreased over time.
Use the function as.Date to convert the date strings in
the variable SurveyDate into dates. (Check the manual page
and make sure that you use the correct format string for the
dd/mm/yy format used in the csv file!) If needed, you can
use the function as.numeric to convert the resulting date
objects to a numeric value. [1 mark] Some of the records (rows) in the data set are inconsistent, in that either the total species count does not equal
the sum of the counts for the three species, or the variable
FlyingFoxesAbsent does not match the total count being
zero or not.
Remove inconsistent records from the data set. 2 Camp size at Indooroopilly Island
over time Camp sizes For this part, we only consider records for camps that are not
empty, that is, where there are flying foxes present. 5 Species proportions at Laidley
Plainlands Road camp (a) [2 marks] Analyse the distribution of the total camp
size (TotalSpecies.Count) and the distribution of the
natural logarithm 2 of the total camp size for non-empty We want to test whether the Species proportions at the Laicamps.
dley Plainlands Road camp (EHP CampID 76) have changed
Explain why the logarithm of the camp size is the more between 18/10/2013 and 13/11/2013.
meaningful variable to consider. (a) [1 mark] Use a χ2 -test for goodness of fit to test whether
the species counts on 13/11/2013 differ significantly from
the species proportions on 18/10/2013. (b) [2 marks] Use bootstrapping to compute a 95% confidence
interval for the mean logarithm of the total camp size for
non-empty camps.
(b) [1 mark] Use a χ2 -test for independence to test whether
the species counts are associated to the categorical variInterpret your result.
able with the categories 18/10/2013 and 13/11/2013. 3 (c) [1 mark] Compare the p-values obtained in (a) and (b).
Discuss the difference between the tests (a) and (b), and
explain which is more appropriate and why. Species proportions (a) [2 marks] Compute the proportions of each species at each
camp site and visualise them. Then compute the overall
proportions of each species. Submission Discuss your results. One report is to be submitted by each group by the due date,
(b) [2 marks] Analyse whether the total camp size and the containing the description of a solution to the tasks above,
proportion of Little Red Flying Foxes are associated by including any R code, and the results obtained.
testing at a significance level of 1% whether whether there
The report is to be written in R Markdown, using
is evidence that the correlation between the total size of the template available on the unit’s vUWS site.
1 https://data.qld.gov.au
After editing the R Markdown file, knit it to Word (not
2 The natural logarithm is the inverse of the exponential function; it
HTML!) in R Studio (see http://rmarkdown.rstudio.com
satisfies log(a · b) = log a + log b for all a, b > 0. The R function to
compute the natural logarithm is called log. 1 By including this statement, all authors of this work declare that:
• We hold a copy of this assignment if the original is lost or damaged.
• We hereby certify that no part of this assignment has been copied from any other student’s work or from
any other source except where due acknowledgement is made in the assignment.
• No part of the assignment has been written for us by any other person except where collaboration has been
authorised by the unit coordinator.
• We are aware that this work may be reproduced and submitted to plagiarism detection software programs
for the purpose of detecting possible plagiarism; this software may retain a copy on its database for future
plagiarism checking.
• We hereby certify that no part of this assignment or product has been submitted by any of us in another
(previous or current) assessment, except where appropriately referenced, and with prior permission from
the unit coordinator for this unit.
• We hereby certify that we have read and understand what the University considers to be academic misconduct, and that we are aware of the penalties that may be imposed for academic misconduct.
Name Student Number Contribution (%) Figure 1: Statement to be included on the first page of each submission.
Groups should discuss all aspects of the project: Working
in a team on a statistical project is an assessable learning
outcome of the unit, and the report will be treated as a team
submission. The contributions by each team member must
be indicated on the cover sheet. for full details on R Studio and R Markdown) and then convert the resulting .docx file to PDF using MS Word. Alternatively, you can knit to HTML and convert the resulting .html file to PDF using a web browser (with a suitable plugin or a virtual printer). If you have LATEX installed
(https://www.latex-project.org), you can also knit your
R Markdown file directly to PDF.)
After checking that the PDF file is formatted correctly,
submit it using the link Group Project in the Group Project
tab on the unit’s vUWS site. Do not submit a file in any
format other than PDF. If you submit a file in another
format, it may not be possible to mark your report at all, or
you may lose marks due to bad formatting of code, plots or
text. Remember that the marker will only see what you have
written, therefore, comment your R code and clearly explain
all decisions made, as well as the analysis and your interpretation of the results. (Don’t expect the marker to spend ages
trying to figure out what you might have meant to say!)
The formatting of your report may affect its readability
and the clarity of your explanations, and hence contributes
to your mark. The first page of your report must contain the declaration
shown in Figure 1; you make this declaration by submitting
your report. Do not remove this declaration! A marker
has the right not to mark your report if the above
declaration is not included in the report. Marking Criteria and Standards
The Group Project will contribute a maximum of 15 marks
towards your final mark.
The value of each of the tasks is indicated. Marks are
awarded according to the following criteria:
• choice of correct method for sampling, bootstrapping,
randomisation and / or analysis;
• correctness and clarity of R code; and
• correctness and clarity of analysis or interpretation.
In addition, 1 mark is awarded for the overall quality and
presentation of the report. 2

 


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