5th percent of males 36 months of age are less than or equal to 12 kg, so 95% of males 36 months of age are heavier than 12 kg.
95th percent of newborn female are less than or equal to 53.8 cm, so nly 5% of newborn female are teller than 53.8 cm
25% of U.S. crime rate is less or equal to 252.4. 50% of U.S. has crime rate between 252.4% and 333.8%. 25% of U.S. has crime rate more than 454.5%.
The interquartile range is (454.5-252.4)= 202.1
lower fence = 252.4-202.1 = 50.3 upper fence = 454.5-202.1 = 252.4 Yes, the crime rate in DC (1243.7) would be an outlier.
The ditribution is skewed to the right because of the outlier.
skewed right
Minimum:0 Q1:1 M:3 Q3:6 Maximum:16
Symmetric
Minimum:-1 Q1:2 M:5 Q3:8 Maxmum:11
40
52
Variable y has a larger standard deviation so it has more of a dispersion
Symmetric because the median is in the center, and the whiskers are the same length
skewed right because the right whisker is longer than the left, and the median is more to the left
16
22
variable y has larger standard deviation, so it has more dispersion
yes, 29
skewed left because the left whisker is longer and the median in more on the right of the center of the box
data <- c(.608,.608,.608,.610,.612,
.601,.610,.608,.607,.598,
.606,.610,.605,.611,.600,
.602,.607,.609,.608,.605,
.611,.600,.605,.610,.603)
boxplot(data,horizontal = T)