1) taking height as an example, draw the histogram of male and female students and compare them; 2) the maximum likelihood estimation method was used to calculate the height and weight distribution parameters of male and female students; 3) using Bayesian estimation method to find the parameters of height and weight distribution of male and female students (assuming the variance is known, please indicate some of the parameters selected by the job); 4) using the minimum error rate Bayes decision, draw the decision surface of category decision. And determine the height and weight of a sample respectively (160,45), should belong to the boys or girls? What about (178,70)?

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