3.4

5 34: -.3, 40: -.43, 40-week weighs less

7 75-inch man: 1.8, 70-inch woman: 1.55, 75-inch man is taller

9 Kershaw: -2.3, Hernandez: -1.91, Kershaw is better

11 100 meter: -3.39, 200 meter: -3.05, 100 meter

13 239

15

  1. 15% of the the males have a head circumference less than 41 cm, and 85% have one greater than.

  2. 90% of females have a waist circumference less than 52.7 cm, and 10% have one greater than.

  3. for the most part, the heights decrease at each percentile

22

  1. -1.209 this means it’s lower than most

  2. Q1 = 9.15, Q2 = 9.95, Q3 = 11.35

  3. 2.2

  4. Lower: 5.85, Higher: 14.65, 5.7 is an outlier

25 574

3.5

3

  1. skewed right

  2. 0, 1, 3, 6, 16

4

  1. symmetric

  2. -1, 2, 5, 8, 11

5

  1. 40

  2. 52

  3. y - the boxplot is wider

  4. symmetric - the boxplot is, itself, symettrical

  5. skewed right - the median is more to the left and the plot extends further right

6

  1. 16

  2. 22

  3. y - the boxplot is wider

  4. yes - 29

  5. skewed left - the median is more to the right and the plot extends further left

7 ```{r}

dat1 <- c(60,68,77,89,98)

boxplot(dat1) ```

dat1 <- c(60,68,77,89,98)

boxplot(dat1)

8 ```{r}

dat2 <- c(110,140,157,173,205)

boxplot(dat2) ```

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)

  1. type answer (note data is in order) 42, 50.5, 54.5, 57.5, 69

  2. boxplot(dat3)
boxplot(dat3)

  1. symmetric though there is an outlier