Assignment 1 Solution

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(30 marks) Consider the 3 pairs of side-by-side box plots given below, which were drawn in R. The data for this question is in the le \juries.csv”. Test assumptions Test diagnostics (checking model assumptions) P-value Results (brief discussion and conclusion) (5 marks) Name two(2) statistical methods which are equivalent to your method used in part…

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  1. (30 marks) Consider the 3 pairs of side-by-side box plots given below, which were drawn in R. The data for this question is in the le \juries.csv”.

    1. Test assumptions

    1. Test diagnostics (checking model assumptions)

    1. P-value

    1. Results (brief discussion and conclusion)

  1. (5 marks) Name two(2) statistical methods which are equivalent to your method used in part (b) above.

  1. (25 marks) Create a subset of the data by removing the row of observations whose ‘id’ matches the last 2 digits of your student number . For instance, this can be done in R by

shivon:subset < shivon:data[ 1; ] if my student number ends with ‘01’.

Then redo the analyses of part (b) above with your data subset.

  1. (5 marks) Compare your results of part (b) and part (d). Do you think that the observation removed was in uential?

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