SOME SOLUTION 5.

SOME SOLUTION

5.

2829,433,394,431,401, 9201,1092,733,691,1256, 14764,877,531,337,1652,

14759,1119,71,42,319), byrow=T, ncol=5)

colnames(lunch)=c("home","canteen","rest","bar","work_pl") rownames(lunch)=c("Bachelor","A-level","GCSE","Primary") lunch

## margins -- sum of each row and column -- total margin.table(lunch,1);margin.table(lunch,2);sum(lunch)

## percent of the total

p_lunch=prop.table(lunch); round(p_lunch*100,1) barplot(p_lunch,beside=F)

## row profiles (percentage)

r_lunch=prop.table(lunch,1); round(r_lunch*100,1) par(mfrow=c(1,dim(r_lunch)[1]))

for (i in 1:dim(r_lunch)[1])

{ barplot(r_lunch[i,],ylim=c(0,1),main=rownames(lunch)[i]) abline(h=0) }

par(mfrow=c(1,1))

par(mfrow=c(1,dim(c_lunch)[2])) for (j in 1:dim(c_lunch)[2])

{ barplot(c_lunch[,j],ylim=c(0,0.5),main=colnames(lunch)[j]) abline(h=0) }

par(mfrow=c(1,1)

The barplots of row profiles have different forms, likewise for column profiles.

Column profiles show that home and canteen are preferred by people with low level of education, while having lunch at the working place is more frequent for people with medium level of education. Bar and restaurant have the same type of customer.

Similarly, Row profiles show that people with low level of education lunch at restaurant, bar and working place rarely.

6. 1. F – 2. V – 3. F – 4. V – 5. F – 6. F 7. A – C – D

E – D – A

1