3.4

  1. type answer here. 5% of 36 month old males weigh 12.0kg or less. 95% of 36 month old males weigh more than 12.0kg
  2. type answer here. 95% of newborn females is 53.8cm or less. 5% of newborn females weigh more than 53.8cm.
  1. type answer here. Q1 or the 25 percentile is less than or equal to 252.4 crime rates. Q2 is less than or equal to 33.8 crime rates. Q3 is less than or equal to 454.5 crime rates.
  2. type answer here. The IQR is the difference between the third and first quartiles. 454.5-252.4=202.1 is the interquartile range.
  3. type answer here. This value is an outlier because it is extreme. If you calculate the upper fence it is 454.5+1.5(202.1)= 757.65. Anything over this upper fence value is considered an outlier which 1243.7 is.
  4. type answer here. I believe the distribution of violent crime rates is skewed because the lower fence is -50.96 and the upper fence is 757.65. There are extreme values causing this distribution to be skewed. ###3.5
  1. type answer here. Skewed right
  2. type answer here. 0, 1, 3, 6, 16
  1. type answer here. symmetric
  2. type answer here. -1, 2, 5, 8, 11
  1. type answer here. 40
  2. type answer here. 52
  3. type answer here.
  1. the whiskiers are longer.
  1. type answer here. symmetric
  2. type answer here. skewed right
  1. type answer here. 16
  2. type answer here. 22
  3. type answer here.
  1. the whiskiers are longer.
  1. type answer here. Yes. The value is 29.
  2. type answer here. Skewed left. The box is more toward the right side, and the whiskier is longer on the left side, making it more skewed left.
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. type answer here. The distribution is symmetric. The data contains no extreme values. All values are close in numbers.