Give me a real-life example of a data distribution that you think is approximately normal, but with a large spread (i. large standard deviation).

 Give me a real-life example of

1. a data distribution that you think is approximately normal, but with a large spread (i.e. large standard deviation). Use Google or other research methods to find the mean and standard deviation to support your claim. What reasons or conditions attribute to the large variation? (Here's my example: income - some people make minimum wage, some people make $134M over 4 years. Think of another example and do some research to find the standard deviation, and answer the question about reasons/conditions.)
2. a data distribution that you think is approximately normal, but with a very small spread (i.e. small standard deviation). Use Google or other research methods to find the mean and standard deviation to support your claim. What limitations prevent the data from a larger variation? (Here's my example: body temperature - too high or too low and you are dead. Think of other examples and answer the question on limitation.)