3.4
5 34 week baby = -.303 40 week baby = -.436 the 40 week baby weights less relative
7 the 75 inch man is relatively taller
9 Clayton Kershaw because he had 2.30 sd below mean and Felix Hernandez had 1.91 below their leauges average. the lower batting average the better.
11 100 = 3.39 lower than average 200 = 3.05 lower than average because his standard deviation is lower in the 100, he is better in that event in comparison to the average
13 239 is the minimum score
15
15% have a circumference less than or equal to 41 cm 85% have a circumference greater than or equal to 41 cm
90% have a circumference less than or equal to 52.7 cm 10% have a circumference greater than or equal to 52.7cm
the heights in all the percentiles decrease with age meaning that they are growing out of the percentile.
22
z = -1.21
q1 = 9.15 q2 = 9.95 q3 = 11.1
IQR = 1.95
fences = 6.225, 14.025 one outlier = 5.7
25 574 is the cutoff
3.5
3
right-skewed
0, 2, 4, 6, 16
4
symetrical
-1, 2, 5, 8, 11
5
40
52
y - the data is more distributed along the x axis compared to the distribution of the data in x
symettrical - the distance between q1, median, and q3 is seemingly equal and the whiskers are seemingly identical in length
right skewed - the whisker is out much farther on the right side meaning that there are some numbers much higher than the middle numbers influencing the plot.
6
15 or 16
22
y - it extends about 30 integers wide whereas x is only 25 integers wide
yes - 30
left skewed. it has a longer left whisker meaning that there are some extra-low values needing to be accounted for and impacting its length
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)
42, 50.5, 54.5, 57.5, 69
boxplot(dat3)