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The weights of people can be modelled with a Gaussian probability density function, with some mean and standard deviation. There are differences in weights of

The weights of people can be modelled with a Gaussian probability density function, with some mean and standard deviation. There are differences in weights of men and women in the general population. As per this link, the data from USA in 2007 indicates that the average weight for men is 89.52 kg with a standard deviation of 18.11 kg. Using the function random.normal in the numpy package in Python, generate weight data for one million men. Then using the function histogram in the numpy package and matplotlib.pyplot, plot the density function for men using the data generated for one million men. Now repeat the same for one million women. Note that the average weight for women is 73.31 kg with a standard deviation of 17.69 kg. Plot both the density functions on the same figure with legends.

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