Data-Driven Decision-Making - Statistics Assignment Help

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Assignment Task
    


Background
You have been hired by the World Health Organisation to help understand what factors influence a country’s life expectancy. They have gathered a dataset with information on countries from the year 2000 to 2015. Data on the economics, the healthcare, the immunisation levels and other information was collected for each country and in each year. Your analysis will be used to give recommendations to governments on how they can improve life expectancy. When analysing the data, think carestafully about which factors are likely to be under a government’s control. What meaningful advice can you give? You will have to make decisions about how to clean the data: in particular, how to deal with missing values.
Below is a description of some of the variables in the data.

  • status Developed or Developing status
  • life_expectancy Life Expectancy in years
  • adult_mortality Adult Mortality Rates of both sexes (number of people dying between 15 and 60 years per 1000 population)
  • infant_deaths Number of Infant Deaths per 1000 population
  • alcohol Alcohol, recorded per capita (15+) consumption (equivalent to liters of pure alcohol)
  • percentage_expenditure Expenditure on health as a percentage of Gross Domestic Product per capita (%)
  • hepatitis_b Hepatitis B (HepB) immunization coverage among 1-year-olds (%)
  • measles Measles - number of reported cases per 1000 population
  • bmi Average Body Mass Index of entire population
  • under_five_deaths Number of under-five deaths per 1000 population
  • polio Polio (Pol3) immunization coverage among 1-year-olds (%)
  • total_expenditure General government expenditure on health as a percentage of total government expenditure (%)

 

 

 

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