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8/2/2019 Tutorial Answers T2 3
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Tutorial Answers
Tutorial 2
1. c. 30% of the elements in this sample belong to B
d. 70% of the elements in this sample belong to A or C.
2. ii) k=6 (No. of classes)
iii)
02468
10121416
24.5 34.5 44.5 54.5 64.5 74.5 84.5 94.5 105
Scores
Frequecny
iv) a. 4 students will fail
b. X 85
3. b. Mean = 1.9 Mode =1 Median = 1.5
c.Range =5,213
13=== QQIQR
s= 1.4474
d. sk= 0.829The data is slightly skewed to the right. That means more taxis are with
less passengers.
4. a. Mean = 2127.33 Median =123
b. Median is more appropriate here since there is an outlier, i.e. USA :15613
and mean is more influenced by the outlier
c. Range = 15554d. IQR= 1385
5.
Temperature m f fx fx2
96.5 96.8 96.65 1 96.65 9341.2225
96.9 97.2 97.05 8 776.4 75349.6297.3 97.6 97.45 14 1364.3 132951.03597.7 98.0 97.85 22 2152.7 210641.695
98.1 98.4 98.25 19 1866.75 183408.1875
98.5 98.8 98.65 32 3156.8 311418.32
98.9 99.2 99.05 6 594.3 58865.41599.3 99.6 99.45 4 397.8 39561.21
106 10405.7 1021536.705
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a. Mean = 98.17
b. S= 0.621s
c. Q197.8 Q398.6
6. a. New mean = 76.4
New Range = 12Median = 78
b. New mean = 75.2
We cannot determine the new range and new median since the largest and
smallest values cannot be determined based the given information.
7. a Mean =52
R = 14
s= 5.89
b. 50=
XY 22
XY ss = XY RR=
c. xy2
1= ,
22
4
1
xyss = XY RR
2
1=
8. a. k=2
From Chebyshevs Theorem, there are at least 75% of its flight
between the two cities arrive anywhere between 2.6 minutes late and 8.2
minutes late.
b. k=5
From Chebyshevs Theorem, there are at least 96% of its flight betweenthe two cities arrive anywhere between 1.6 minutes early and 12.4 minutes
late.
9. a. k=1
By using Empirical rule, there are approximately 68% of heights of the
women are between 61.1in and 66.1in.
b. k=3 By using Empirical rule, there are approximately 99.7% of heights of
the women are between 61.1in and 66.1in.
10. For Everlast, 50 = , 2 = .For Endurance, 50 = , 6 = .
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Since both brands have same mean life and it is larger than the labeled life, so the
brand with smaller standard deviation is the better choice, i.e. Everlast. This is
because the smaller standard deviation means the data are closer to the mean.
11. VA= 5.22% VB= 6.73% Since Va< Vb the first student is relatively more
consistent in doing these tests
12. Calories: mean = 380 median = 350 1st quartile = 260 3rd quartile = 510Fat: mean = 15.8 median = 19 1st quartile = 8 3rd quartile = 22
(b) Calories: variance = 12800 standard deviation = 113.1 range = 290
interquartile range = 250 CV = 29.77%
None of the Z scores are less than -3 or greater than 3. There is no outlier in calories.
Fat: variance = 52.82 standard deviation = 7.3 range = 18.5
Interquartile range = 14 CV = 46.04%
None of the Z scores are less than -3 or greater than 3. There is no outlier in fat.
(c) Calories are slightly right-skewed while fat is slightly left-skewed.
(d) The mean calories is 380 while the middle ranked calorie is 350. The average scatter
of calories around the mean is 113.14. 50% of the calories are scattered over 250while the difference between the highest and the lowest calories is 290.
The mean fat is 15.79 grams while the middle ranked fat is 19 grams. The average
scatter of fat around the mean is 7.27 grams. 50% of the fat is scattered over 14
grams while the difference between the highest and the lowest fat is 18.5 grams.
Tutorial 3
4. P(A) = 12 / 45
P(AA) = (12 / 45) (11 / 44)
5. a. b. 1/16 c. 3/8
6. 240
7. a. 1/ 169 b. 1/221
8. a. A and B are not mutually exclusive sinceA B ={2} .
b. A and B are not independent
c. P(A) = 5/8 = .625 P(B) = 5/8 = .625
9. a. i. 0.2958
ii. 0.6137
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iii. 0.6899
iv. 0.4377
v. 0.6215
10. 0.40951
11. a. 0.18 b. 0.77 c. 0.31 d. 0.23 e. 0574 f. 0.561
12. i. 0.35 ii. 0.75 iii. 0.4286
13. a. 0.6456 b. 0.7007