With the full data set from Part 1, use any numerical tool you desire to t the data to the Weibull function. Find the best
With the full data set from Part 1, use any numerical tool you desire to t the data to the Weibull function. Find the best value of the parameter beta to t to this data, where t is dened as least error similar to how is done in regression. You should input your data in the format of a point ('53:) where Lis the time when the part failed and Y is how many points failed at that time. For example, the data set 22, 30, 22 would be input in graphical format as (22, 2) and (30, 1). f0\") = rmed\"'3 You are free to use any software, analytical method, or any other method. Provide an explanation to the results. Data values Trail run Time of failure 1 18 2 19 3 10 4 22 5 20 6 23 7 21 3 24 9 1 10 24 11 22 12 24 13 25 14 20 15 25 16 24 17 23 18 24 19 5 20 25 21 22 22 21 23 24 24 23 25 22 26 15 27 25 28 23 29 21 30 25 31 23 32 15 33 20 34 26 35 22 36 12
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