1. consider the chance experiment of selecting an adult at random from the sample. the number of credit cards is a discrete random variable. the table above sets up the probability
distribution of this variable as a relative frequency. make a histogram of the probability distribution of the number of credit cards per person based on the relative frequencies.

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

3x + 4y -25 =0 represents the amount of change sianna should recieve