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(1) Devore 2010 Automatic identification of the boundaries of significant structures within a medical image is an area of ongoing research. The paper "Automatic Segmentation of Medical Images Using Image Registration: Diagnostic and Simulation Applications" (J. of Medical Engr. and Tech., 2005: 53-63) discussed a new technique for such identification. A measure of the accuracy of the automatic region is the average linear displacement (ALD). The paper gave the following ALD observations for a sample of 48 kidneys (units of pixel dimensions)-1.38 0.44 1.09 0.75 0.66 1.28 0.51 0.39 0.70 0.46 0.54 0.83 0.58 0.64 1.30 0.57 1.10 0.65 0.99 0.56 0.56 0.64 0.45 0.82 1.06 0.41 0.58 0.66 0.54 0.83 0.59 0.51 1.11 0.34 1.25 0.38 1.44 1.28 0.51 1.05 0.82 0.45 0.52 0.58 0.62 1.00 0.85 1.04 The authors commented that in most cases the ALD is better than or of the order of 1.0. Does the data in fact provide strong evidence for concluding that true average ALD under these circumstances is less than 1.0? Carry out an appropriate test of hypotheses (include the hypotheses, which test you're using, calculations for the test statistic, the p-value, and conclusion of the test)