Switches for a train rail is replaced whenever it fails, and whenever it's been t hours since its previous preventive replacement. Its time to failure follows a Weibull distribution with B = 3.4 and 0 = 3800 hours. Though the motor itself isn't very expensive to replace ($25), a - = when there's an unexpected failure, the conveyor system's unavailability results in a total loss of $250, including the cost of the motor replacement. Using numerical methods, determine the optimal preventive replacement interval of the switch, and its associated optimal cost per unit time. Include the graph of the cost function per unit time. Please include your source work, whether it is an Excel file or your code. This is from the midterm, so you already know the answer. Please complete this problem without using Glasser's graph. Doing this in R or Python may be your best choice Switches for a train rail is replaced whenever it fails, and whenever it's been t hours since its previous preventive replacement. Its time to failure follows a Weibull distribution with B = 3.4 and 0 = 3800 hours. Though the motor itself isn't very expensive to replace ($25), a - = when there's an unexpected failure, the conveyor system's unavailability results in a total loss of $250, including the cost of the motor replacement. Using numerical methods, determine the optimal preventive replacement interval of the switch, and its associated optimal cost per unit time. Include the graph of the cost function per unit time. Please include your source work, whether it is an Excel file or your code. This is from the midterm, so you already know the answer. Please complete this problem without using Glasser's graph. Doing this in R or Python may be your best choice