Introduction - If you have any usage issues, please Google them yourself
1. Take the height as an example, draw the histogram of the height of boys and girls and make a comparison. 2. Using the maximum likelihood estimation method, the parameters of height and weight distribution of male and female students are obtained. 3. Using Bayesian estimation method, the parameters of height and weight distribution of male and female students were calculated (indicating the parameters selected by themselves). 4. Using Bayesian decision-making with minimum error rate, the decision-making surface of category decision-making is drawn. When the height and weight of a sample are (160,45), should it belong to boys or girls? For (178,70)?