3.4

  1. This signifies that 95% of males 36 months or older weigh more than 12.0kg

  2. This means that 5% of newborn females lengths is more than 53.8cm

  1. Within the 50 states, 25% of the states has a crime amount less than 252.4 incidents per 100,000 individuals or less. The median amount of crimes was 333.8 incidents per 100,000. And 25% of the states had more than 454.4 crimes per 100,000 individuals.

  2. IQR= 202.1

  3. Yes, 1243.7 crimes would be an outliar as the upperlimit is 757.65 crimes

  4. Skewed to the right. We can see that the difference between Q1 and Q2 is far less than the difference between Q3 and Q2

3.5

  1. Skewed right

  2. Min=0, Q1=1, M= 3, Q3=6, Max=16

  1. Symetric

  2. Min=-1, Q1=2, M=5, Q3=8, Max=11
  1. 40

  2. y, The right whisker extends farther out than any of the whiskers on X

  3. Symetric, appears that both whiskers are uniform and the median is equidisant from Q1 and Q3

  4. Skewed right, we see the wisker on the right is longer than the one on the left..

  1. 15

  2. 22

  3. Y, We see that the whiskers on Y extend way farther than the ones on X.

  4. 29

  5. Skewed left, we see the left side of box plot has a longer whisker and also the median is closer to Q3 than to Q1.

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)

  1. According to the data, we see that the data is skewed to the left as the difference bewtween Q1 to Q2 is greater than the difference between Q2 to Q3. Also, we see no outliars in the data.