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Assignment Task:

TASKS

You are required to conduct the following tasks using R where coding is required. If, for a specific task, you are unable to undertake data preparation using R but you are able prepare your data by other means, explain how you have achieved this and complete the rest of the task in R.

1. Produce a plot with the relative proportion of children residing in Australia, Germany, Italy and India.  Comment on your visualisation and suggests one alternative to your plot, highlighting its advantages. There is no need to plot the alternative.


2. Use univariate statistics on at least the first 4 attributes to describe the data. Discuss the results obtained, highlighting any result which you consider particularly useful. Use visualisations if needed. 
3. Apply data analysis techniques in order to answer each of the questions below, justifying the steps you have followed and the limitations (if any) of your analysis. If a question cannot be answered explain why.

  • Is the score mean different for children with autism and children without autism using a significance value of 0.05?
  • Is there a difference of at least 1 in mean scores between children with a family history of autism and those without a family history of autism? 
  • What is the predicted value of the alternative score (score2) for a child with a standard score of 7?
  • What is the predicted value of the alternative score (score2) for a child with a standard score of 12?

4. Create a dataset which contains all the data in child plus a new column “ageGroup” with values “Five and under” and “6 and over”. Use one or more visualisations to compare the standard score against the cost for each age group. The visualisation(s) should also show whether there was a family history of autism. Comment on your visualisations.

5. Assume that, in addition to the child dataset supplied with this coursework (dataset 1), you also have another 19 independent datasets with the same number of observations about children tested for autism with the following distribution for attribute autism:

6. Demonstrate that the size of the confidence intervals for the average percentage of positive cases of autism (autism=YES) increases as the confidence level increases. Use 90%, 95% and 98% confidence. Discuss any improvements which may enhance your demonstration.

Critically discuss the following statement, using at most 3 plot examples to illustrate your explanations [ Word limit 300]. 

“There are different methods of displaying data, with no method being suitable for the visualisation of all types of data. Some visualisations easily convey the information they are designed to communicate whereas others fail to adequately show the data. Data-ink ratio and lie factor also play a part in the quality of a visualisation.”


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  • Posted on : May 05th, 2019
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