Assignment Task:
TASK:
This project analyses data about electronic gaming machines (EGMs; also known as “pokies”) in Queensland. The data were made publicly available by the Queensland government.1 The original data were slightly modified to simplify the analysis; the data to be used for this project are provided in the file QLD-Pokies.csv together with this task sheet. The file contains the following variables, with each row giving the totals for a particular region for a particular month: Month – the month [integer 1, . . . ,12] Year – the year [integer] Region – the region [categorical variable with 17 categories] Approved.Sites – the number of venues approved for hosting EGMs [integer] Operational.Sites – the number of venues actually hosting EGMs [integer] Operational.EGMs – the total number of EGMs that were in operation for all venues [integer] Metered.Win – the amount (in $) won on all EGMs [decimal]
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Get Help Now!1 Proportion of approved sites that were operational in July 2004 We want to investigate the proportion of approved sites that were operational in July 2004, using the region “BRISBANE INNER CITY” as a sample. (a) [1 mark] Use bootstrapping to compute a 99% confidence interval for the proportion of approved sites that were operational in 07/2004, using the 07/2004 data from the region “BRISBANE INNER CITY” as a sample.
Marking Criteria and Standards
The Team 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. Teams should discuss all parts of the project. Working on a statistical project in a team is an assessable learning outcome, and the report will be treated as a team submission. The contributions by each team member must be indicated on the cover sheet. 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.
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