data=read.delim("exer10_20.dat",header=TRUE)
str(data)
## 'data.frame': 45 obs. of 1 variable:
## $ lengths: num 19.6 20.1 20.6 20.9 21.6 ...
attach(data)
mean(lengths)
## [1] 22.3
sd(lengths)
## [1] 0.9206
qt(.975,44)
## [1] 2.015
hist(lengths,main="Length of Cuckoo Eggs")

qqnorm(lengths)
qqline(lengths)

data=read.delim("exer10_21.dat",header=TRUE)
str(data)
## 'data.frame': 20 obs. of 1 variable:
## $ lostvalu: int 883 447 207 627 214 313 844 253 587 217 ...
attach(data)
mean(lostvalu)
## [1] 555.2
x=c(883,313,768,805,447,844,1064,443,207,253,549,649,627,587,833,554,214,217,277,570)
mean(x)
## [1] 555.2
sd(x)
## [1] 256.9
qt(.975,19)
## [1] 2.093
hist(lostvalu,prob=TRUE,main="Pickpocket Offenses")

qqnorm(lostvalu)
qqline(lostvalu)

data=read.delim("exer10_22.dat",header=TRUE)
attach(data)
mean(advertis)
## [1] 16.8
sd(advertis)
## [1] 4.25
qt(.975,19)
## [1] 2.093
mean(mail)
## [1] 24.1
sd(mail)
## [1] 6.206
hist(advertis,main="Amount of Advertisements")
qqline(advertis)

qqnorm(advertis)

hist(mail,main="Amount of Mail")
qqline(mail)

qqnorm(mail)
