Question: Please provide complete solution! The dataset has been given. 3.9 51.0 0.20 7.06 12.19 Wilhelm 2.7 49.0 0.07 7.14 12.23 Wilhelm 2.8 36.0 0.30 7.00

Please provide complete solution! The dataset has been given.

3.9 51.0 0.20 7.06 12.19 Wilhelm 2.7 49.0 0.07 7.14 12.23 Wilhelm 2.8 36.0 0.30 7.00 11.30 Wilhelm 3.1 45.0 0.08 7.20 13.01 Wilhelm 3.5 46.0 0.10 7.81 12.63 Wilhelm 3.9 43.0 0.07 6.25 10.42 Wilhelm 2.7 35.0 0.00 5.11 9.00 Wilhelm 5.0 47.0 0.07 7.06 6.10 SubMuli 3.4 32.0 0.20 5.82 4.69 SubMuli 1.2 12.0 0.00 5.54 3.15 SubMuli 8.4 17.0 0.07 6.31 4.55 SubMuli 4.2 36.0 0.50 9.25 4.95 SubMuli 4.2 35.0 0.50 5.69 2.22 SubMuli 3.9 41.0 0.10 5.63 2.94 SubMuli 3.9 36.0 0.07 6.19 2.27 SubMuli 7.3 32.0 0.30 8.02 12.92 SubMuli 4.4 46.0 0.07 7.54 5.76 SubMuli 3.0 30.0 0.00 5.12 10.77 SubMuli 6.3 13.0 0.50 4.24 8.27 Upper 1.7 5.6 1.00 5.69 4.64 Upper 7.3 24.0 0.00 4.34 2.99 Upper 7.8 18.0 0.50 3.92 6.09 Upper 7.8 25.0 0.70 5.39 6.20 Upper 7.8 26.0 1.00 5.02 2.50 Upper 9.5 17.0 0.05 3.52 5.71 Upper 7.7 14.0 0.30 4.65 8.63 Upper 11.0 20.0 0.50 4.27 8.40 Upper 8.0 14.0 0.30 4.32 7.87 Upper 8.4 18.0 0.20 4.38 7.98 Upper 10.0 18.0 0.10 3.06 7.67 Upper 7.3 15.0 0.05 3.76 6.84 Upper 9.5 22.0 0.30 3.98 5.02 Upper 8.4 15.0 0.20 5.02 10.12 Upper 8.4 17.0 0.20 4.42 8.25 Upper 9.5 25.0 0.50 4.44 5.95 Upper 7.2 22.0 1.00 4.70 3.49 Upper 4.0 12.0 0.50 5.71 6.32 Upper 6.7 52.0 0.50 4.80 3.20 Upper 9.0 27.0 0.30 3.69 3.30 Upper 7.8 29.0 1.50 6.72 5.75 Upper 4.5 41.0 0.50 3.33 2.27 Upper 6.2 34.0 0.70 7.56 6.93 Upper 5.6 20.0 0.50 5.07 6.70 Upper 9.0 17.0 0.20 4.39 8.33 Upper 8.4 20.0 0.10 3.74 3.77 Upper 9.5 19.0 0.50 3.72 7.37 Upper 9.0 20.0 0.50 5.97 11.17 Upper 6.2 16.0 0.05 4.23 4.18 Upper 7.3 20.0 0.50 4.39 3.50 Upper 3.6 15.0 0.70 7.00 4.82 Upper 6.2 34.0 0.07 4.84 2.37 Upper 7.3 22.0 0.00 4.13 2.70 Upper 4.1 29.0 0.70 5.78 7.76 Upper 5.4 29.0 0.20 4.64 2.65 Upper 5.0 34.0 0.70 4.21 6.50 Upper 6.2 27.0 0.30 3.97 2.97 Upper

Please provide complete solution! The dataset has been given. 3.9 51.0 0.20

Problem 2. Construct a one-way MANOVA test of the crude_oil data posted on BeachBoard. The five elements are X1 = vanadium, X2 = iron, X3 = beryllium, X4 = saturated hydrocarbons, Xs = aromatic hydrocarbons. Construct 95% simultaneous confidence intervals to determine which mean components differ among the populations. You may want to consider transformations of the data to make the data more closely conform to the normality assumption for a MANOVA test. Problem 2. Construct a one-way MANOVA test of the crude_oil data posted on BeachBoard. The five elements are X1 = vanadium, X2 = iron, X3 = beryllium, X4 = saturated hydrocarbons, Xs = aromatic hydrocarbons. Construct 95% simultaneous confidence intervals to determine which mean components differ among the populations. You may want to consider transformations of the data to make the data more closely conform to the normality assumption for a MANOVA test

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