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សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Assignment A Course: Introduction to Statistics Lecturer Name: Mong Mara 1- In a Statistics course, the scores of 30 students on midterm test are 10.0 9.0 6.0 5.0 9.0 7.5 10.0 6.0 5.5 8.0 9.0 9.0 5.0 4.0 4.5 12.0 10.0 4.5 6.0 5.5 4.5 7.0 10.5 8.0 4.5 6.0 5.0 6.0 8.5 8.0 a) Compute the arithmetic mean, median and mode of the raw data. b) Construct a grouped frequency distribution, including relative frequency and percentage for the scores. c) Construct Histogram, frequency polygon and (less-than) cumulative frequency polygon. d) From the frequency table in b), again, estimate the arithmetic mean, median, and mode. e) At least about 85% of students have their scores between what two values? 2- In a distribution of 300 values, the mean is 60 and the standard deviation is 5. Answer each. Use Chebyshev’s theorem. a) At least how many values will fall between 35 and 85? b) At most how many values will be less than 40 or more than 80? 3- Given a frequency distribution as below Class limits frequency 20 -24 3 25 -29 5 30 -34 10 35 -39 7 40 -44 4 45 -49 1 a) Estimate the mean, median and mode for the data b) Estimate standard deviation c) Find estimate the value corresponding to the first and third quartiles and compute the quartile deviation. 4- An aptitude test has a mean of 220 and a standard deviation of 10. Find the corresponding z score for each exam score. a. 200 b. 232 c. 218 d. 212 e. 225 5- Which of these exam grades has a better relative position? a) A grade of 43 on a test with x 40 and s 3 b) A grade of 75 on a test with X 72 and s 5 6- Find the percentile rank for each test score in the data set 12, 28, 35, 42, 47, 49, 50 7- Given data set 12, 28, 35, 42, 47, 49, 50what values correspond to the 65th, 70th, 75th, 80th, 82nd percentile? ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី1នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា 8- These data are number of inches of snow reported in randomly selected U.S. cities for September 1 through January 10. Construct a box plot and comment on the skewness of the data. 9.8 8.0 13.9 4.4 3.9 21.7 15.9 3.2 11.7 24.8 34.1 17.6 9- An important module is tested by three independent teams of inspectors. Each team detects a problem in a defective module with probability 0.8. What is the probability that at least one team of inspectors detects a problem in a defective module? 10- A building is examined by policemen with four dogs that are trained to detect the scent of explosives. If there are explosives in a certain building, and each dog detects them with probability 0.6, independently of other dogs, what is the probability that the explosives will be detected by at least one dog? 11- A shuttle’s launch depends on three key devices that may fail independently of each other with probabilities 0.01, 0.02, and 0.02, respectively. If any of the key devices fails, the launch will be postponed. Compute the probability for the shuttle to be launched on time, according to its schedule. 12- Under good weather conditions, 80% of flights arrive on time. During bad weather, only 30% of flights arrive on time. Tomorrow, the chance of good weather is 60%. What is the probability that your flight will arrive on time? ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី2នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answers of Assignment Answer 1. In a Statistics course, the scores of 30 students on midterm test are: 4 4.5 4.5 4.5 4.5 5 5 5 5.5 5.5 6 6 6 6 6 7 7.5 8 8 8 8.5 9 9 9 9 10 10 10 10.5 12 a) Compute the arithmetic mean, median and mode of the raw data. Mean: x x x 4 4.5 4.5 4.5 ... 12 213.5 n n 30 x 213.5 7.11 30 Median: 67 6.5 2 Mode: (4.5, 5, 5.5, 6, 8, 9, 10) b) Construct a grouped frequency distribution, including relative frequency and percentage for the scores. 2k n STOP 25 32 n 30 STOP Highest value Lowest value k Class Limit 4.0 – 5.7 5.8 – 7.5 7.6 – 9.3 9.40 – 11.1 11.2 – 12.9 ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ Frequency 10 7 8 4 1 12 4 8 1.6 1.8 5 5 Relative frequency 10/30 = 0.33 7/30 = 0.23 8/30 = 0.26 4/30 = 0.13 1/30 = 0.03 Percentage (10*100)/30 = 33.3 (7*100)/30 = 23.3 (8*100)/30 = 26.6 (4*100)/30 = 13.3 (1*100)/30 = 3.3 ទ្យុំព្រ័ ទ្យី3នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា c) Construct Histogram, frequency polygon and (less-than) cumulative frequency polygon. Class Limit 4.0 – 5.7 5.8 – 7.5 7.6 – 9.3 9.4 – 11.1 11.2 – 12.9 Total: ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ Frequency 10 7 8 4 1 30 boundaries Midpoint (Xm) 3.95 – 5.75 4.85 5.75 – 7.55 6.65 7.55 – 9.35 8.45 9.35 – 11.15 10.25 11.15 – 12.95 12.05 C.F 10 17 25 29 30 f. Xm 48.5 46.55 67.6 41 12.05 215.70 (Xm)2 23.52 44.22 71.40 105.06 145.20 f. (Xm)2 235.23 309.56 571.22 420.25 145.20 1681.46 ទ្យុំព្រ័ ទ្យី4នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា d) From the frequency table in b), again, estimate the arithmetic mean, median, and mode. Mean: f .xm 215.70 7.19 n 30 x Median: LB 3.95 n cf 0 cf 2 median LB *w f f 10 w 1.8 30 0 median 3.95 2 *1.8 6.65 10 Mode: LB 3.95 d1 10 0 10 d1 mode LB *w d1 d 2 d 2 10 7 3 w 1.8 mode 3.95 10 *1.8 5.33 10 3 e) At least about 85% of students have their scores between what two values? Find K: 1 1 1 1 0.85 2 1 0.85 k 2 k 2 k k 0.15 1 2.58 0.15 Find Standard Deviation: S n * f ( xm ) 2 ( fxm ) 2 30*1681.46 (215.70) 2 50443.8 46526.49 n(n 1) 30(30 1) 30*29 4836 4.502 2.121 870 x kS 7.19 2.58* 2.121 1.717 x kS 7.19 2.58* 2.121 12.662 So at least about 85% of students,they have their scores between 1.717 and 12.662. ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី5នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answer 2. In a distribution of 300 values, the mean is 60 and the standard deviation is 5. Answer each. Use Chebyshev’s theorem. a) At least how many values will fall between 35 and 85? ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី6នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answer 3. Given a frequency distribution as below Class limits Freq. C.F. Xm f.Xm Xm2 f.Xm2 20 -24 3 3 22 66 484 1452 25 -29 5 8 27 135 729 3645 30 -34 10 18 32 320 1024 10240 35 -39 7 25 37 259 1369 9583 40 -44 4 29 42 168 1764 7056 45 -49 1 30 47 47 2209 2209 Total: 30 995 34185 a) Estimate the mean, median and mode for the data Mean: x f .xm 995 31.71 n 30 Median: LB 29.5 n cf 8 cf 2 median LB *w f f 10 w 5 30 8 median 29.5 2 *5 33 10 Mode: LB 29.5 d1 10 5 5 d1 mode LB *w d1 d 2 d 2 10 7 3 w 5 mode 29.5 5 *5 32.165 53 b) Estimate standard deviation n * f ( xm )2 ( fxm ) 2 30*34185 (995) 2 102550 990025 S n(n 1) 30(30 1) 30* 29 ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ 35525 40.83 6.4 870 ទ្យុំព្រ័ ទ្យី7នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា c) Find estimate the value corresponding to the first and third quartiles and compute the quartile deviation. QD (Q3 Q1) / 2 Find Q1: n / 4 30 / 4 7.5 Q1 place in class 25 29 LB 24.5 n cf Q1 LB 4 * w cf 3 f f 5 w 5 7.5 3 Q1 24.5 *5 29 5 Find Q3: 3n / 4 3*30 / 4 22.5 Q3 place in class 35 39 LB 34.5 3n cf Q3 LB 4 * w cf 18 f f 7 w 5 22.5 18 Q3 34.5 *5 37.71 7 Find QD: Q1 29 QD (Q3 Q1) / 2 Q3 37.71 37.71 29 QD 4.355 2 ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី8នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answer 4. An aptitude test has a mean of 220 and a standard deviation of 10. Find the corresponding z score for each exam score. x value xx z x mean s s Standard Deviation a) 200 z 200 220 2 10 z 232 220 1.2 10 z 218 220 0.2 10 z 212 220 0.8 10 z 225 220 0.5 10 b) 232 c) 218 d) 212 e) 225 Answer 5. Which of these exam grades has a better relative position? a) A grade of 43 on a test with x 40 and s 3 z x x 43 40 1 s 3 b) A grade of 75 on a test with X 72 and s 5 z x x 75 72 0.6 s 5 The exam grade of 43 has a better relative position than grade of 75. Answer 6. ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី9នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Find the percentile rank for each test score in the data set 12, 28, 35, 42, 47, 49, 50. Percentile number of values below X 0.5 *100% total number of value + Score 12 Percentile 0 0.5 *100% 7.1% 7 + Score 28 Percentile 1 0.5 *100% 21.4% 7 + Score 35 Percentile 2 0.5 *100% 35.7% 7 + Score 42 Percentile 3 0.5 *100% 50% 7 + Score 47 Percentile 4 0.5 *100% 64.2% 7 + Score 49 Percentile 5 0.5 *100% 78.5% 7 + Score 50 Percentile ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ 6 0.5 *100% 92.8% 7 ទ្យុំព្រ័ ទ្យី10នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answer 7. Given data set 12, 28, 35, 42, 47, 49, 50what values correspond to the 65th, 70th, 75th, 80th, 82nd percentile? 12, 28, 35, 42, 47, 49, 50 C n.P 100 + 65th percentile C 7 * 65 4.55 5 100 The value correspond to the 65th percentile is 47. + 70th percentile C 7 *70 4.9 5 100 The value correspond to the 65th percentile is 47. + 75th percentile C 7 * 75 5.25 6 100 The value correspond to the 65th percentile is 49. + 80th percentile C 7 *80 5.6 6 100 The value correspond to the 65th percentile is 49. + 82nd percentile C 7 *82 5.71 6 100 The value correspond to the 65th percentile is 49. ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី11នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answer 8. These data are number of inches of snow reported in randomly selected U.S. cities for September 1 through January 10. Construct a box plot and comment on the skewness of the data. 9.8 3.2 3.2 3.9 4.4 8.0 11.7 8.0 13.9 24.8 9.8 4.4 34.1 11.7 3.9 17.6 13.9 21.7 15.9 15.9 17.6 21.7 24.8 34.1 + Q1 = P25 c nP 12* 25 3 100 100 Q1 = 3rd value = 4.4 + Q2 = P50 c nP 12 *50 6 100 100 Q2 = 6th value = 11.7 + Q3 = P75 c nP 12* 75 9 100 100 Q3 = 9th value = 17.6 We obtain the lowest value = 3.2, Q1 = 4.4, Median = Q2 = 11.7, Q3 = 17.6 and the highest value = 34. ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ ទ្យុំព្រ័ ទ្យី12នន13 សាកលវិទ្យាល័យ ន័រតុន ផ្នកែ កុព្ុំ យូទ្យរ័ វិទ្យា Answer 9: An important module is tested by three independent teams of inspectors. Each team detects a problem in a defective module with probability 0.8. What is the probability that at least one team of inspectors detects a problem in a defective module? At lease one team of inspectors detects a problem. A = each team detects a problem Ac = no team detects a problem P( A) 0.8 P( Ac ) 1 - 0.8 0.2 P(3 Ac ) [ P( Ac )]3 (0.2)3 0.008 P(At lease one team of inspectors detects a problem) =1-0.008= 0.992 Answer 10: A building is examined by policemen with four dogs that are trained to detect the scent of explosives. If there are explosives in a certain building, and each dog detects them with probability 0.6, independently of other dogs, what is the probability that the explosives will be detected by at least one dog? At lease one dog detects the dxplosive. A = each dog detects the dxplosive Ac = no dog detects the dxplosive P( A) 0.6 P( Ac ) 1 - 0.6 0.4 P(3 Ac ) [ P( Ac )]4 (0.4) 4 0.0256 ជុំនាញ វិទ្យាសាស្រ្កត ព្ុុំ យូទ្យរ័ P(At lease one dog detects the dxplosive) =1-0.0256 = 0.9744 ទ្យុំព្រ័ ទ្យី13នន13