(c) The table below refers to an observational study carried out to research how age and gender could be associated with the incidence of different diseases. Name Postcode Age Gender Disease Patrick SW1 4YB 22 Male Cardiovascular Sebastian SW1 4ZE 23 Male Respiratory Reece SW1 2HY 18 Male No illness Tilly NW10 8FN 47 Female Cardiovascular Abby NW10 4AB 42 Female No illness Elise NW10 OFW 56 Female Cardiovascular Morgan E17 9QY 23 Male Respiratory George E17 3SF 29 Male Liver Sienna E17 5WD 18 Female No illness i. Suppose a researcher removes the Name column. Would this be enough to render the dataset anonymous? Why or why not? [4 marks] ii. Describe in your own words the concept of k-anonymity. (4 marks) iii. Describe in detail the steps you would take, including procedures of sup- pression and generalisation, to make it impossible to identify that George has liver disease, while keeping the utility of the dataset. [6 marks] [Total 33 marks] (c) The table below refers to an observational study carried out to research how age and gender could be associated with the incidence of different diseases. Name Postcode Age Gender Disease Patrick SW1 4YB 22 Male Cardiovascular Sebastian SW1 4ZE 23 Male Respiratory Reece SW1 2HY 18 Male No illness Tilly NW10 8FN 47 Female Cardiovascular Abby NW10 4AB 42 Female No illness Elise NW10 OFW 56 Female Cardiovascular Morgan E17 9QY 23 Male Respiratory George E17 3SF 29 Male Liver Sienna E17 5WD 18 Female No illness i. Suppose a researcher removes the Name column. Would this be enough to render the dataset anonymous? Why or why not? [4 marks] ii. Describe in your own words the concept of k-anonymity. (4 marks) iii. Describe in detail the steps you would take, including procedures of sup- pression and generalisation, to make it impossible to identify that George has liver disease, while keeping the utility of the dataset. [6 marks] [Total 33 marks]