What percentage of the general U. S. population have bachelor's degrees? The Statistical Abstract of the United States, 120th Edition, gives the percentage of bachelor's degrees by state. For convenience, the data are sorted in increasing order. 17 18 18 18 19 20 20 20 21 21 21 21 22 22 22 22 22 22 23 23 24 24 24 24 24 24 24 24 25 26 26 26 26 26 26 27 27 27 27 27 28 28 29 31 31 32 32 34 35 38

(a) Select the box-and-whisker plot.
(b) Find the interquartile range.
IQR =
(c) Illinois has a bachelor's degree percentage rate of about 26%. Into what quarter does this rate fall?

below Q1between Q1 and the median between the median and Q3above Q3

a) Figure attached

b)

c) between the median and Q3

Step-by-step explanation:

For this case we have the following data:

17 18 18 18 19 20 20 20 21 21 21 21 22 22 22 22 22 22 23 23 24 24 24 24 24 24 24 24 25 26 26 26 26 26 26 27 27 27 27 27 28 28 29 31 31 32 32 34 35 38

Part a

We can construct the boxplot with the following R code:

> x<-c(17, 18, 18, 18, 19, 20, 20, 20, 21 ,21, 21, 21, 22, 22, 22, 22, 22, 22, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 25, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 28, 28, 29, 31, 31, 32, 32, 34, 35, 38)

> boxplot(x,main="Boxplot of data")

> summary(x)

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

 17.00   22.00   24.00   24.76   27.00   38.00

The results are on the figure attached.

The mean >Median so then we can conclude that the distribution is slightly skewed to the right.

Part b

For this case since we have 50 data values in order to find the the Q1 we use the following values 17, 18, 18, 18, 19, 20, 20, 20, 21 ,21, 21, 21, 22, 22, 22, 22, 22, 22, 23, 23, 24, 24, 24, 24, 24, 24

And the Q1 would be the average between position 13 and 14 and we got:

For the Q3 we need to use the following data values: 24, 24, 24, 24, 25, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 28, 28, 29, 31, 31, 32, 32, 34, 35, 38

And the Q3 would be the average between position 13 and 14 and we got:

So then

Part c

For this case we have a value of 26 and if we see this value is between the meadian and Q3 since the median = 24 and Q3 = 27

between the median and Q3

step-by-step explanation:

i found the life tables for the year 2012. 

life table of males at age 30. probability of dying between ages x and x+1

total population:  

29–30 . . . . . . . . . . . . 0.001030

30–31 . . . . . . . . . . . . 0.001061

males:  

29–30 . . . . . . . . . . . . 0.001420

30–31 . . . . . . . . . . . . 0.001448

white population

29–30 . . . . . . . . . . . . 0.001005

30–31 . . . . . . . . . . . . 0.001037

white males

29–30 . . . . . . . . . . . . 0.001372

30–31 . . . . . . . . . . . . 0.001399

non hispanic white population

29–30 . . . . . . . . . . . . 0.001083

30–31 . . . . . . . . . . . . 0.001116

non hispanic white males

29–30 . . . . . . . . . . . . 0.001477

30–31 . . . . . . . . . . . . 0.001503

jacob, non hispanic white male. 30 years old.

probability that jacob lives to be 30 years old. 

since the given probabilities are probabilities of dying, i think we simply subtract it from 1 to get the probability of living. we will use the probability of non hispanic white male.

                                          probability of living to be 30 y.o.

29 - 30 : 1 - 0.001477 = 0.998523

30 - 31 : 1 - 0.001503 = 0.998497

step-by-step explanation: