Listed below are the measured radiation absorption rates (in w/kg) corresponding to 11 cell phones. use the given data to construct a boxplot and identify the 5-number summary. 1.16 0.72 1.01 1.36 1.28 1.47 1.33 0.68 1.45 0.58 0.89

  Min. 1st Qu.  Median    Mean 3rd Qu.    Max.  

 0.580   0.805   1.160   1.085   1.345   1.470

The figure attached represent the boxplot obtained.

Step-by-step explanation:

We can use the following excel code:

data<-c(1.16, 0.72, 1.01, 1.36, 1.28, 1.47, 1.33, 0.68, 1.45, 0.58, 0.89)

> summary(data)

  Min. 1st Qu.  Median    Mean 3rd Qu.    Max.  

 0.580   0.805   1.160   1.085   1.345   1.470

We can order the data on increasing way:

> sort(data)

[1] 0.58 0.68 0.72 0.89 1.01 1.16 1.28 1.33 1.36  1.45 1.47

And for this case we got this:

The minimum on this case is:

The maximum would be:

In order to find the median we need to find the value on the 6 position from the data ordered, and we got:

And in order to obtain the boxplot we can use R to grapth the boxplot"

> boxplot(data,main="Boxplot")

And the result is on the figurea attached.

idk this answer sorry cant on this one.

step-by-step explanation: