01 70 79 20 02 002 10 0 1 90 99 90100 10 1 100 0001

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Unformatted text preview: = 0.01 20 0 .2 0 - 70-79 [70,80) 49 40 0.4 = 0.008 20 0.2 100 80−70 == 0.02 10 0 .1 50 - 80-89 [80,90) 69 20 0.2 = 00.01 10 .1 100 90−80 = 0.01 70 - 79 20 0.2 0.02 10 0 .1 90-99 [90,100) 10 .1 100 = 00.01 100−90 = 0.01 80 - 89 10 0.1 90 - 99 10 0.1 0.01 For grading, treating bin 0 − 49 having length 49 is regarded as valid this time only. The histograms below is the histogram obtained using the density variable for the data above. (b) For the histogram, 0.010 0.000 0.005 Density 0.015 0.020 Histogram of scores 0 20 40 60 80 100 scores 7. Here’s the stem-and-leaf plotof the data. 7. (a) Steam-and-leaf plot 2 6 3 Stem Leaf17 2 64 58 5 3 17 116 6 0355689 4 58 7 011244667789 5 116 00233346799 8 6 0355689 9 12223566789 7 01124466789 10 0 8 Below, you’ll find the histogram and the boxplot associated to the data above. Notice that 0023346799 9 since we chose classes of equal size for the histogram, we plotted the frequency and not the 12223566789 10 density. 0 (b) For the histogram, we demonstrate here the one with bin allocation: [20,30),[30,40),...,[80,90),[90,100]. Other choices for the endpoints are possible. 2 10 (a) : Scatterplot 3. (b) : Scatterplot 1. (c) : Scatterplot 2. 3...
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