Give me a real-life example of
- 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.)
- 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.) it has to include the
mean and standard deviation