Answer:
See the explanation below.
Step-by-step explanation:
Assuming the distribution table given:
X ( Number od Credit Cards) Relative frequency
0 0.26
1 0.17
2 0.12
3 0.10
4 0.09
5 0.06
6 0.05
7 0.05
8 0.04
9 0.03
10 0.03
We can create the histogram for this data using the following code in R:
> x<-c(0,1,2,3,4,5,6,7,8,9,10)
> freq<-c(0.26,0.17,0.12,0.10,0.09,0.06,0.05,0.05,0.04,0.03,0.03)
> x1<-c(rep(0,26),rep(1,17), rep(2,12),rep(3,10), rep(4,9),rep(5,6),rep(6,5),rep(7,5),rep(8,4),rep(9,3),rep(10,3))
> hist(x1,breaks = x,main = "Histogram", ylab = "%", xlab = "Number of credit cards")
And we got as the result the figure attached. We see a right skewed distribution with majority of the values between 0 and 3
