Case study 1: Murder rates at the country level

In the ‘murders and crime’ data shared on google classroom go to the tab titled ‘countryMurder’. The murder rate of a country is defined as the number of murders that occurred for every 100,000 people in the country. We will be examining the distribution of murder rates across countries.

  1. Plot a histogram of the murders variable and place it in a separate tab. Where do most countries’ murder rates fall? are there any significant outliers? Which country has the largest murder rate and how large is it?

  2. Using the methods we learned in class calculate the five number summary of the distribution of heart rates.

  3. What is the inter-quartile range of the distribution?

  4. Use the five number summary to draw a boxplot visualizing the distribution of murder rates across countries.

  5. Use google sheets to calculate the mean as well as the standard deviation of the distribution. Is the mean very different from the median? Which is a better measure of average in this case? Is the standard deviation very different from the IQR? Which is a better measure of the spread of the distribution?

Case study 2: Murders rates at the city level

Navigate to the tab titled ‘cityMurder’. This tab has data on the murder rate across various cities in the United States.

  1. Using the methods we learned in class, find the five number summary of the distribution of murder rates across US cities and then draw a box plot visualizing the distribution of US city murder rates.

  2. Compare your box plot from question 1 (country murder rates) to the boxplot you just created. Are they very different? If so, wat do you think accounts for the different shape of these distributions?