Answer:
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: [tex]Minimum =0.58[/tex]
The maximum would be: [tex]Maximum = 1.47[/tex]
In order to find the median we need to find the value on the 6 position from the data ordered, and we got:
[tex]Median = 1.16[/tex]
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.
