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? 

 

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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 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

Answer rating: 100% (QA)

If data is normally distributed then it means that probability distribution that is symmetric about ... View the full answer