3.4 5-15 odds, 22, 25

5 -0.303, -0.426, 40-week babies weigh less relative to the gestation period

7 75-inch male

9 Felix Hernandez because his ERA is -2.14 while Josh Johnson’s ERA is -1.78

11 Will

13 239

15

  1. 15% of males 3 to 5 months of age have a head circumference less than or equal to 41 cm

  2. 90% of females 2 years of age have a waist circumference less than or equal to 52.7 cm

  3. The height decreases as age increases

22

  1. -0.7313, it means that the hemoglobin of Blackie, 7.8 g/dL is 0.7313 standard deviations below the mean

  2. 25% is less than or equal to 8.9 g/dL, 50% is less than or equal to 9.95 g/dL, 75% is less than or equal to 11.2 g/dL

  3. IQR is 2.3, it means that the range of the middle 50% of observation is 2.3 g/dL

  4. Lower fence is 5.45, upper fence is 14.65, no outliers

25 581.5 is the cut-off

3.5 3-10

    1. Skewed Right
  1. 0, 1, 3, 6, 16
    1. Symmetric
  1. -1, 2, 5, 8, 11
    1. 40

  1. 54

  2. Y, because the boxplot is more spread out between the quadrants

  3. Symmetric, because compared to the max and min, the quadrants and median is right in the middle

  4. Skewed right, because compared to the max and min, the quadrants and median is shifted to the left

    1. 15

  1. 22

  2. Y, because the boxplot is more spread out between the quandrants

  3. Yes, 30

  4. Skewed left, because compared to the max and min, the quadrants and median is shifted to the right

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
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
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)

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)