Mathematics, 06.03.2020 23:27, alyssatamayo641

The following are the scores of a 23-student class on Machine Learning, out of 100. As can be seen, based on the grading scale listed in your syllabus sheet, most of the students will fail. The professor therefore decides to grade on the (normal distribution) curve with the mean score receiving a B- grade, the grade going up or down one step from there with every 1/3rd of the standard deviation change in the score. Assume SJSU letter grading [F to A+]. Write a program in python to determine each student’s grade. 47, 63, 71, 39, 47, 49, 43, 37, 81, 69, 38, 13, 29, 61, 49, 53, 57, 23, 58, 17, 73, 33, 29

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The following are the scores of a 23-student class on Machine Learning, out of 100. As can be seen,...