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Statistical Report on Small Area Population Statistics Data from 2011 Census of Ireland

Added on -2019-09-16

Prepare a statistical report based on non-normal data from Small Area Population Statistics data of 2011 Census of Ireland. Use non-parametric statistical tests and tools of your choice. The report should include descriptive statistics, tests for normality, Mann-Whitney U Test/Wilcoxon Rank Test, Kruskal-Wallis H Test, post-hoc tests, and visual representation of data. The report should also follow 8 Simple Rules procedure and explain the results and conclusions based on the outcome of statistical tests.
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In this assignment you will use statistical tests for non-normal data. You may use methods (non-parametric statistics tests) and tools (R, Excel, or SPSS) of your ownchoice - please don't rely on one tool or method, variety is expected. It is not necessary to replicate any test you carry out, ie if you perform a test inR it is not necessary to repeat in SPSS and/or Excel. A data file (from the 2011 Census of Ireland) is suggested, though students are permitted to choose a different file if they wish (subject to approval by Dr O'Loughlin). Your task is to prepare a statistical report based on the data in the file.UPDATE LINK:The Central Statistics Office provides data on "Small Area Population Statistics" – see: CSV file has 18,488 records based on 68 columns of data. You are not expected to use all the data in the file and you may reduce to eliminate unused data if you wish. As there are a lot of data in this file, please be careful on what you decide to report on - it is up to you to choose.Some suggested reports:a comparison of methods of transport to work by County/Planning Regiondifference between different methods of transport in urban vs rural areasa comparison of journey times to work byCounty/Planning Regiona comparison of time leaving home to travel to work byCounty/Planning RegionCorrelations may also be testedSuggested statistical tests:Descriptive statistics for all data usedTests for normality such Q-Q plots, Kolmogorov-Smirnov (please note - the Shapiro-Wilk test does not work for sample sizes over 5,000)Mann-Whitney U Test/Wilcoxon Rank Test to compare two samples (eg - travel times for Kerry vs Cork)Kruskal-Wallis H Test to compare three or more samplesPost-hoc tests where appropriateSuggested visual representation of dataQ-Q/P-P plots

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