Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Numerical Methods for Describing Data From Graphical to Numerical 1. Traumatic knee dislocation often requires surgery to repair ruptured ligaments. One measure of recovery is range of motion (measured by the angle formed when, starting with the leg straight, the knee is bent as far as possible). The article “Reconstruction of the Anterior and Posterior Cruciate Ligaments after Knee Dislocation” reported the following post surgical range of motion for a sample of 13 patients. 154 142 137 133 122 126 135 135 108 120 127 134 154+142+137+…+122 13 122 1695 x 13 x 130.38 108 120 122 122 126 127 133 134 135 135 137 142 154 Median = 133 2. The paper “The Pedaling Technique of Elite Endurance Cyclists” reported the accompanying data on single-leg power at a high workload. 160 174 176 180 180 183187 191 194 200 205 211 211 244 2696 x 14 x 192.57 Median = 189 160 174 176 180 180 183187 191 194 200 204 205 211 211 2656 x 14 x 189.71 Median = 189 The mean is nonresistant to outliers. Trimmed mean = 191 2292 x 12 x 191 3. The ages (measured by last birthday) of the employees of Dewey, Cheatum and Howe are listed below. 22 31 21 49 26 42 42 30 28 31 39 39 20 37 32 36 35 33 45 47 49 38 28 48 x 35.33 years old 4 9 2 2 5 7 9 8 3 1 0 1 9 9 7 2 6 5 3 8 2 2 1 6 8 0 8 Median = 35.5 4H 5 7 8 9 9 4L 2 2 3H 5 6 7 8 9 9 3L 0 1 1 2 3 2H 6 8 8 2L 0 1 2 42 35.5 29 20 21 22 26 28 28 30 31 31 32 33 35 36 37 38 39 39 42 42 45 47 48 49 49 Q1 median Q3 4. In the Consumer’s Report April 2007 issue, the following gas mileage was reported in mixed driving for the following five brands of Subaru: Subaru B9 Tribeca Subaru Forester Subaru Impreza Subaru Legacy Subaru Outback 1 𝑛−1 16 mpg 22 mpg 23 mpg 18 mpg 19 mpg 𝑥𝑖 − 𝑥 x 19.6 mpg Median = 19 2 Variance: the average of the squares of the deviations of the observations from their mean Observations: Deviations: xi xi x 16 16 – 19.6 22 22 – 19.6 Squared deviations 𝑥𝑖 − 𝑥 2 3.6 12.96 2 2.4 5.76 2 3.4 2 11.56 23 23 – 19.6 18 1.6 2.56 2 .6 .36 19 – 19.6 2 xi x 33.2 19 18 – 19.6 2 S2 = 1 𝑛−1 2 𝑥𝑖 − 𝑥 Standard deviation 1 33.2 4 s 2 8.3 variance s 8.3 2.88 mpg Roughly speaking, the standard deviation of 2.88 mpg measures a typical or average distance between the individual gas mileage ratings and the mean gas mileage rating for a Subaru. With Toyota Prius x 23.667 x x i 2 529.333 s 10.29 mpg 2. The percentage of juice lost after thawing for 19 different strawberry varieties appeared in the article “Evaluation of Strawberry Cultivars with Different Degrees of Resistance to Red Scale”: 6L 5H 5L 4H 4L 3H 3L 0 5 0 0 1 3 3 4 6 6 6 6 8 1 1 2 4 4 3 Key: 3 | 3 means 33 Q1 = 44 Median = 46 IQR = 9 Q3 = 53 lowest = 33 highest = 60 Five number summary: lowest value, Q1, median, Q3, highest value Interquartile range (IQR) = Q3 – Q1 Outlier (below): smaller than Q1 – 1.5IQR Outlier (above): larger than Q3 + 1.5IQR 44 – 1.5(9) = 30.5 No outliers! 53 + 1.5(9) = 66.5 Extreme outliers use 3IQR for calculations. Boxplot 33 25 30 44 35 40 46 53 IQR 1.5 IQR 45 50 55 Percent of Juice Lost 60 60 65 Modified Boxplot Suppose the data set replaces 33 with 28 41 44 46 28 53 60 * 25 30 35 40 1.5 IQR 45 50 55 Percent of Juice Lost 60 65 Recap of Numerical Descriptors • Measures of center: mean, median • Measures of variability: spread, range, IQR, variance, standard deviation • Mean, range, spread, variance and standard deviation are nonresistant to outliers. • How does shape affect the measures of center and variability? How the tail pulls the mean MEDIAN = 9 = MEAN AVERAGES I= 9 II = 9 III = 9 IX IX VIII VIII IV = 9 V= 9 IV VII VII IV VI = 9 III VI VI III I II V V II I 4 6 8 10 12 14 VII = 9 VIII = 9 IX = 9 2 16 18 20 How the tail pulls the mean MEDIAN = 9 AVERAGES I= 10 II = 10 III = 9 MEAN = 9.33 IX VIII IX IV = 9 V= 10 IV VII VIII V VI = 9 III VI VII IV I II V VI III II I 4 6 8 10 12 14 16 VII = 9 VIII = 9 IX = 9 2 18 20 How the tail pulls the mean MEDIAN = 9 AVERAGES I= 12 II = 11 III = 10 MEAN = 10 IX IV VIII IV = 10 V= 10 III VII IX VI = 10 II VI VIII VI IV I V VII V III II I 6 8 10 12 14 16 18 VII = 9 VIII = 9 IX = 9 2 4 20 How the tail pulls the mean MEDIAN = 9 AVERAGES I= 13 II = 12 III = 11 IX MEAN = 10.44 VIII VII IV = 11 V= 10 III VI VI = 10 II V VIII VI I IV VII VII = 9 IX V IV III II I 12 14 16 18 20 VIII = 9 IX = 9 2 4 6 8 10