3.4
5- 0,3; 0,43 .The 40 week gestation baby weights less than the 34 weeks.
7-the man is relatively taller.
9- Felix Hernandes had a better year, because his ERA was 2.14 standars deviation, while Johnson’s was 1,8 standards deviation below the Nationals League ERA.
11- Power had a more convincing victory, because his finishing time was 1,76 standard deviation below the mean, while Franchittis was 1,48.
13- 239
15- a- Means that 15 percent of of males 3-5 months have head circunference that is 41 cm or less; and that 85% is more than 41 cm.
b-Means that 90% of two year old females have a wait circumference of 52.7 cm or less. And 10% has more than 52.7 cm.
c- It can be concluded that as the age increase, the height in each percentile decrease, so men are getting heigher.
3.5
3- skewed right. b- 0, 1,3,6,16
4- Bell-shaaped b- -0,5, 2, 5, 8,11
5- a-40 b-52 c- y, because the distance between the Mnin and the maximum is bigger than the same distance in X. d- I would say it is symetric, because the distance from the M to the max and min is very similar. e- I would say it is skewed right, because the distance between the M and Max is much bigger than the M to Min.
6- a-16 b-22 c-I would say y is more disperse, because the distance between the Min to the Max is bigger. d-Yes, the value is around 29. e- it is skewed left, because the distance from the M to Min is much bigger than from the M to Max.
7-
your_data <- c(60, 63, 68, 68, 68,
75, 75, 77, 79, 89,
89, 89, 93, 94, 98)
boxplot(your_data, horizontal = T)
fivenum(your_data)
## [1] 60 68 77 89 98
8-
this_data <- c(110, 125, 140, 140,140,
150, 152, 157, 160, 173,
173, 173, 180, 180,205)
boxplot(this_data, horizontal = T)
fivenum(this_data)
## [1] 110 140 157 173 205
9-
my_data <- 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)
fivenum(my_data)
## [1] 42.0 50.5 54.5 57.5 69.0
boxplot(my_data, horizontal = T)
c- The shape is symetric.
10-
our_data <- 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,
10.3, 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)
fivenum(our_data)
## [1] 7.20 9.05 10.00 11.20 16.40
boxplot(our_data, horizontal = T)
c- The shape is skewed right.