Use the accompanying data table to (a) draw a normal probability plot, (b) determine the linear correlation between the observed values and the expected z-scores, (c) determine the critical value in the table of critical values of the correlation coefficient to assess the normality of the data. Click here to view the data table. Click here to view the table of critical values of the correlation coefficient. (a) Choose the correct plot below. OA. 2- to 6000 35 45 45 55 65 Observed value Q (b) The correlation is (Round to three decimal places as needed.) Index, i 1 2 3 4 G Data Table 6 7 8 Observed Value 37 41 46 48 50 51 54 63 f₁ 0.08 0.20 0.32 0.44 0.56 0.68 0.80 0.92 O B. Expected z-score 1.5 0.5- -0.5- -1.54 ||||| H|||| o -0.47 -0.15 0.15 0.47 0.84 1.41 b Expected z-score -1.41 -0.84 Pot " 0000 35 45 55 D 1 5: o T Observed value 65 Q - X Expected z-score 1.5- 0.5- -0.5- -1.5 lo ■ 200 35 45 55 65 Observed value Critical Values of the Correlation Coefficient Sample Size, n 5 6 7 。 8 8 9 10 10 " 11 12 12 12 13 " 14 " 15 7 16 17 18 19 20 21 22 23 24 25 30 Critical Value 0.880 0.888 0.898 0.906 0.912 2012 0.918 DOM 0.923 0.928 0.929 0.02 0.932 0.925 0.935 2050 0.939 0.941 0.944 DOK 0.946 0.949 0.951 0.952 0.954 0.956 0.957 0.959 0.960 D

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