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