Read in data for energy cost
energy = read.table("energy_cost.csv", header = TRUE, sep = ",")
Problem 3g
hist(energy$cost, xlab = "Monthly Energy Bill", main = "Energy Cost")
Problem 3h
boxplot(energy$cost, xlab = "Monthly Energy Bill", main = "Energy Cost" )
Problem 3i
mean(energy$cost)
## [1] 174.0667
sd(energy$cost)
## [1] 49.49534
summary(energy$cost)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 64.0 147.5 181.0 174.1 203.0 274.0
nrow(energy)
## [1] 30
Problem 3n
qt(.025,29)
## [1] -2.04523
Problem 3q: Critical value
qt(.05, 29)
## [1] -1.699127
Problem 3q: P-value
pt(-2.87, 29)
## [1] 0.00379273