Unit 2 Measures of Variation
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1 1. (a) Weight in grams (w) 6 < w < w 32 < w < w < w Median 111, Inter-quartile range 3 Distance in km (d) < d 1 1 < d < d < d < d 33 < d 6 36 Median 2.2, Inter-quartile range about 2.. Length in metres (d) 1 < d 2 2 < d < d < d 28 < d 6 33 Median 3, Inter-quartile range about Weight of apple (g) Distance (km) Length of jump (m) 1
2 2. (a) Field A Field B Mass of grain (g) Mass of grain (g) range range The of field A is 13g, the of field B is 12g. The inter-quartile range for field A is around 7, for B it is around 4. Field B is more reliable than field A (its inter-quartile range is narrower), although it is less productive in % of the cases (its is lower than the of field B). 2
3 3. (a) Type A Type B Median for type A.4, Inter-quartile range for type A 1. Median for type B.6, Inter-quartile range for type B.. Type B - although both types have quite similar s, type B is more predictable (its inter-quartile range is narrower) and most of the time its lifetime is above. 4. The heights of children in each category (to the nearest cm) are: Lifetime (hours) range Very tall - 7 < h 8 Tall - 7 < h 7 Normal - 62 < h 7 Short - 8 < h 62 Very short - < h { Lifetime (hours) range Height (cm) 8 8 3
4 Value of sales ( ) 3 Value of sales ( ) 6. (a) For : For 6: Bonus Value of sales Bonus Value of sales < V 1 < V < V < V 4 3 < V 4 < V Price ( ) (i) or 6 shops (ii) About 2. (iii) 2 shops (iv) 8 shops (v) or 6 shops The only exact answer is (iv). The other answers are estimates since they relate to prices for which we do not have exact information. 4
5 7. (a) Score (i) Darrita's = (ii) Inter-quartile range - about 11. (i) Jenine was the more consistent player because her inter-quartile range is lower. (ii) Darrita won most of the games. She scored less than in matches and more than 3 in only 16 matches, whereas Jenine scored more than 3 in matches and her inter-quartile scores were quite consistent. 8. (a) frequencies - 34, 6, 76, 8, 8. 8 bulbs (d) Inter-quartile range about. (e) The bulbs from the second sample are more reliable than those from the first sample. 9. (a) frequencies 4, 11, 19, 2, 28, 32, 32. (i) as graph. 3 (ii) Median about 26 (iii) 6 people The second group travelled more (by route taxi) Lifetime (hours) Number of journeys
6 . (a) frequencies 26%, 4%, 67%, 82%, 91%, 96%, % In 2, 76% of villa rentals cost up to J$, whilst in 3 76% of rentals were up to J$8. Hence, in 3 the rental for the holiday villa should be around J$ (a) frequencies: 2, 6, 16,, 72, 89, 96,. Villa rental House prices in in and (in J$) ) (i) (ii) Median: between 1.6 cm and 1.7 cm Inter-quartile range: about Length of nail (cm) 12. (a) Mean distance = km (to 2 d.p.) (i) Number of guests: 26, 64, 84, 4, 116, 1 (ii) as graph Median: between 18 and km 1 (ii) The range is very large (1 km), and 36 people (who make up almost a third) travel more than 3 km (above the ). These upper values influenced the mean which is far above the Distance travelled (miles) (km) 6
7 13. (a) (i) 18. (ii) 3 13 = (3 8 ) (d) cumulative frequency graph (i) 27 (ii) = 21 The time is much increased, but there is a similar interquartile range. The first sample might have been taken from one particularly good operator. 2.2 Box and Whisker Plots 1. (a) (i) 24.7 to 26.4 i.e. 1.7 (ii) = 7. (iii) It is far from the other data values. Firm C as it is the only one to meet the requirements. 2. (a) 66 ; 2, 78 Box plot quickly shows you the main statistical features. 3. (a) LQ Median UQ Hence IQR = = 8 Any outliers will be in regions: x < = 21 x > = 3 So there is only one outlier, Weight (kg) (d) (e) Normal distribution, as it is symmetric. They are not yet fully grown pigs. 4. (a), 3,, 6, 7, 9,, 12, 13, 14, 16, 22, 24, 2, 26, 33, 4, 6, 64 lower upper quartile quartile IQR = 26 7 = 19, so any outlier will be in regions: x < = 21. x > = 4. There are two outliers, 6 and 64. 7
8 Number of years (d) Generally, monarchs appear to reign longer than Popes, with a similar lower quartile, slightly greater but significantly greater upper quartile, i.e. stretching to the right.. (a) (i) 9. (ii) 7 = 13 (iii) About 8% (i) 8, 2, 67, 76, 83, 1 (ii) 13, (a) 19 3 (i) 46 (ii) 3, 8 (d) Graph 2.3 Standard Deviation 1. (a) Mean Standard Deviation A B C Adding same number to values: the mean increases but the s.d does not; values by a scale factor: the mean increases and so does the s.d. 2. (a) Mean Standard Deviation A 2.24 kg.4 B 2.64 kg.7 On average, the boxes filled by A weigh less than the boxes filled by B, but A is more accurate (.4 <.7). 3. Mean Standard Deviation A.2.49 B The experiments done by B are more accurate and more reliable (.14 <.49) ; ; 1.8 8
9 The estimated mean is 1.22, the estimated standard deviation is The estimated mean is 61.3, the estimated standard deviation is Estimated Estimated Mean Standard Deviation A B On average, the sizes of the families in A are smaller and less spread out than in B. ( ) 9. (a) mean =, standard deviation = Any five consecutive integers have the following pattern: n 2, n 1, n, n + 1, n + 2, where n is the middle integer. There are two integers which are 2 units away from n, (n 2 and n + 2), and two integers which are 1 unit away from n, (n 1and n + 1). Since n is the mean, the standard deviation will be: = =. (a) mean = 3, standard deviation = The means in both Mathematics and English are identical, but the marks in English are less spread out (3.6 < 16.11) than in Mathematics. 11. (a) (i) 32 (ii) On average, the girls performed less than boys (3 < 32), but their scores are less spread out (6. < 11.32) around the mean. 12. (a) 8.98 Class A has, on average, higher and less spread out I.Q. scores than Class B. 13. (a) (i) 6 (ii) 6 The second test has 6 as mean and 1.48 as standard deviation; e.g.the means are identical on both tests but the second group performed more homogeneously than the first group. On average, the scores of the second group were closer to 6 than the scores of the first group. 14. (a) mean = 4., s.d. = 1.86 Yes it does. The values within one s.d. of the mean lie between 2.64 and In our data these values are 3, 4,, 6. The total frequency of these values in our data is = 34. The percentage of values within one s.d. of the mean is therefore: 34 = 68% 2 9
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