The effective life of insulating fluids at an accelerated load of 35 kV is being studied. Test data have been obtained for four types of fluids. The results from a completely randomized experiment were as follows: Please do your analysis in Minitab Fluid Type Life (in h) at 35 kV Load 1 17.6 18.9 16.3 17.4 20.1 21.6 2 16.9 15.3 18.6 17.1 19.5 20.3 3 21.4 23.6 19.4 18.5 20.5 22.3 4 19.3 21.1 16.9 17.5 18.3 19.8 A Manufacturer suspects that the batches of raw material furnished by his supplier differ significantly in calcium content. There are a large number of batches currently in the warehouse. Four of these are randomly selected for study. A chemist did the experiments and obtained the following data. Use Minitab software Batch 1 Batch 2 Batch 3 Batch 4 23.46 23.59 23.51 23.28 23.48 23.46 23.64 23.40 23.56 23.42 23.46 23.37 23.48 23.52 23.52 23.46 23.40 23.50 23.49 23.39 Four different feed rates were investigated in an experiment on a CNC machine producing a component part used in an aircraft auxiliary power unit. The manufacturing engineer in charge of the experiment know that a critical part dimension of interest may be affected by the feed rate. However, prior experience has indicated that only dispersion effects are likely to be present. That is, changing the feed rate does not affect the average dimension, but it could affect dimensional variability. The engineer makes five production runs at each feed rate and obtains the standard deviation of the critical dimension (in 10-3 mm). The data are shown below. Assume that all runs were made in random order. Use Minitab software Feed rate (in/min) Production Run 1 2 3 4 5 10 0.09 0.10 0.13 0.08 0.07 12 0.06 0.09 0.12 0.07 0.12 14 0.11 0.08 0.08 0.05 0.06 16 0.19 0.11 0.14 0.20 0.11