Jett Facey

Problem 11

PopulationSW<-c(66,40,30,30,31,26,20,20,21,21,23,24,15,17,18,10,10,11,11,13,14,14,14,14,6,9,9,9,1)
boxplot(PopulationSW, main ="Poplation Growth SW", col = "magenta")

summary(PopulationSW)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    1.00   11.00   15.00   18.86   23.00   66.00
PopulationNE<-c(12,11,10,10,9,9,9,9,8,8,7,6,6,5,5,4,4,3,1)
boxplot(PopulationNE, main ="Poplation Growth NE", col = "blue")

summary(PopulationNE)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   1.000   5.000   8.000   7.158   9.000  12.000
  1. It’s clear that the southwest region of the US had incredable growth when compared to the North East region. On average, growth in the SW was more than double that in the NE. While the quartile only ranges from 5 to 9 percent in the NE, it ranges from 11 to 23 percent in the SW.

Problem 18

It’s abundently clear from the boxplots shown that the number of cylyders a car has is inversely proportional to how fuel effecient it is. That is to say the lower the cylinders, the higher the MPG. This is shown where mean MPG per 4 clyinder cars is 32 mpg, while for 8 cylinder cars its around 17 mpg.

Problem 21

Class 1 = A / Class 2 = B / Class 3 = C

Problem 23

  1. It appears thatthe data is slightly left skewed since the mean is lower than the median.

  2. No

PercentOntime<-c(43.3,87.4,69.9,59,15,74.75)
boxplot(PercentOntime, main ="% ontime", col = "yellow")

Problem 27

  1. Median ~36

  2. Q1~34.5 Q2~36.5

  3. Range 6 / IQR~2

Derrrbyyy<-c(31,38,34.5,36.5,36)
boxplot(Derrrbyyy, main ="Derby speeds", col = "red")

  1. The speeds of the derby winners are collectively centered around the value of about 36 mph. The Quartile ranges are 34.5 and 36.5, and the extremes were 31 and 38.