3.4
5 -.30, -.43; so relative to the gestation period, the 40-week baby weighs less
7 The man is relatively taller.
9 Clayton Kershaw’s ERA = 2.30 standard deviations below the National League. Hernandez’s ERA = 1.91 standard deviations below the American League’s mean ERA. So, Kershaw had the better year.
11 Ryan = 3.39 standard deviations below the mean in the 100 m back, 3.05 standard deviations below the mean in the 200 m back. This shows that Ryan is better at the 100 m race.
13 239
15
15% of 3-5 month old males have a circumference that is 41 cm or less. 85% of 3-5 month old males have a circumference that is more than 41.0 cm
90% of 2-year old females have a waist circumference that is 52.7 cm or less. 10% of 2-yr old females have a waist circumerference that is more than 52.7 cm.
The heights at each percentile decrease as the age increases, which shows that adult males are getting taller.
22
(hint the mean = 10.08, standard deviation = 1.885), -1.21
Q1 = 8.9, Q2 = 9.95, Q3 = 11
2.1
Upper fence = 12.5, Lower fence = -.45. Outliers = 12.9, 13, 13.4
25 By hand, the cut off point is 574 minutes. The cusomter is contacted if more minutes are used.
3.5
3
Skewed right
0,1,3,6,16
4
Symmetric
-1, 2 , 5, 8, 11
5
40
52
y
Symmetric
Skewed right
6
16
22
y, its range is larger
yes, I believe it’s at about 29
Left skewed
7
dat1 <- c(60,68,77,89,98)
boxplot(dat1)
8
dat2 <- c(110,140,157,173,205)
boxplot(dat2)
9
dat3 <- c(42,43,46,46,47,
47,48,49,49,50,
50,51,51,51,51,
52,52,54,54,54,
54,54,55,55,55,
55,56,56,56,57,
57,57,57,58,60,
61,61,61,62,64,
64,65,68,69)
By hand = 42, 50.5, 54.5, 57.5, 69
boxplot(dat3)
10
dat3 <- c(7.2, 7.8, 7.8, 7.9, 8.1, 8.3,
8.5, 8.6, 8.6, 8.6, 8.7, 8.8,
9.0, 9.1, 9.2, 9.2, 9.2, 9.4,
9.4, 9.6, 9.7, 9.7, 9.9, 9.9,
10.0, 10.0, 10.0, 10.1, 10.2, 10.3,
10.0, 10.3, 10.3, 10.7, 10.7, 10.9,
11.2, 11.2, 11.2, 11.3, 11.3, 11.3,
11.5, 11.5, 11.7, 12.4, 12.5, 13.6,
13.8, 14.4, 16.4)
1.2, 7.2, 9, 10, 16.4
boxplot(dat3)