Many times when we measure something, the data tends to be around a central value with no majority in the left or right, and it gets close to a "Normal Distribution".

What is something you would like to know about people in Toronto? Do you think if we got a large sample of answers, it would fit the bell curve shape? Why or why not? 

 

We say the data is "normally distributed": Mean Median Mode Symmetry 50% 50% The Normal Distribution has: mean = median = mode symmetry about the center 50% of values less than the mean and 50% greater than the mean