2. The most obese countries in the world have obesity rates that range from 11.4% to...

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2. The most obese countries in the world have obesity rates that range from 11.4% to 74.6%. This data is summarized in the Table below: Percent of Population Obese 11.4-20.45 20.45-29.45 29.45-38.45 38.45-47.45 47.45-56.45 56.45-65.45 65.45-74.45 74.45-83.45 Number of Countries 29 13 4 0 2 1 0 1 Hint (In R): For d) and e) You will: • Create a mid-point vector xi (you can calculate the midpoints of the ranges outside R) Create a frequency vector fi • • Put xi and fi in a dataframe dfl a. Using R, Draw bar plot of frequency (number of countries) with appropriate title and labels for the X and Y axes. b. Using R, Characterize the skewness of the data by visual observation. c. Using R, What percentage of countries have an obesity percentage greater than or equal to 47.45% d. Using R, Calculate the (approximate) sample mean of obesity percentage e. Using R, Calculate the (approximate) sample standard deviation of obesity percentage. 2. The most obese countries in the world have obesity rates that range from 11.4% to 74.6%. This data is summarized in the Table below: Percent of Population Obese 11.4-20.45 20.45-29.45 29.45-38.45 38.45-47.45 47.45-56.45 56.45-65.45 65.45-74.45 74.45-83.45 Number of Countries 29 13 4 0 2 1 0 1 Hint (In R): For d) and e) You will: • Create a mid-point vector xi (you can calculate the midpoints of the ranges outside R) Create a frequency vector fi • • Put xi and fi in a dataframe dfl a. Using R, Draw bar plot of frequency (number of countries) with appropriate title and labels for the X and Y axes. b. Using R, Characterize the skewness of the data by visual observation. c. Using R, What percentage of countries have an obesity percentage greater than or equal to 47.45% d. Using R, Calculate the (approximate) sample mean of obesity percentage e. Using R, Calculate the (approximate) sample standard deviation of obesity percentage.