In: Statistics and Probability
| Per Capita Income | 
| 23714 | 
| 21375 | 
| 32355 | 
| 35503 | 
| 51615 | 
| 58227 | 
| 71403 | 
| 87163 | 
| 38337 | 
| 31659 | 
| 27280 | 
| 41509 | 
| 24941 | 
| 20355 | 
| 23617 | 
| 26713 | 
| 26347 | 
| 21257 | 
| 15246 | 
| 15411 | 
| 20489 | 
| 29026 | 
| 13391 | 
| 39596 | 
| 15920 | 
| 10951 | 
| 13596 | 
| 41488 | 
| 12548 | 
| 10697 | 
| 15467 | 
| 67699 | 
| 60593 | 
| 16942 | 
| 23098 | 
| 19312 | 
| 9016 | 
| 22056 | 
| 37519 | 
| 13087 | 
| 39243 | 
| 18928 | 
| 18366 | 
| 20320 | 
| 23495 | 
| 15393 | 
| 13756 | 
| 28977 | 
| 17974 | 
| 19007 | 
| 15506 | 
| 15347 | 
| 16228 | 
| 8535 | 
| 22561 | 
| 24684 | 
| 16145 | 
| 13138 | 
| 17577 | 
| 24969 | 
| 12524 | 
| 16938 | 
| 12014 | 
| 23920 | 
| 15898 | 
| 14405 | 
| 10559 | 
| 11993 | 
| 17213 | 
| 22078 | 
| 16022 | 
| 40107 | 
| 19709 | 
| 34221 | 
| 26185 | 
| 29402 | 
| 33364 | 
1.For the variable Per Capita Income for all neighborhoods create a histogram with minimum five classes.
2. Describe the Shape of the histogram that you created for the variable per Capita Income.
3. Calculate the five-number summary for the variable Per Capita Income, and represent it using a box plot.
4.In detail, summarize what the information that a five-number summary for the variable Per Capita Income provides for the City of Chicago.
### R command
Income=c(23714,21375,32355,35503,51615,58227,71403,87163,38337,31659,
27280,41509,24941,20355,23617,26713,26347,21257,15246,15411,20489,
29026,13391,39596,15920,10951,13596,41488,12548,10697,15467,67699,
60593,16942,23098,19312,9016,22056,37519,13087,39243,18928,18366,
20320,23495,15393,13756,28977,17974,19007,15506,15347,16228,8535,
22561,24684,16145,13138,17577,24969,12524,16938,12014,23920,
15898,14405,10559,11993,17213,22078,16022,40107,19709,34221,
26185,29402,33364)
## 1)
hist(Income, xlab="Per Capita Income")
## 3)
summary(Income)
boxplot(Income)
## End.
1. For the variable Per Capita Income for all neighborhoods create a histogram with a minimum five classes.

2. Describe the Shape of the histogram that you created for the variable per Capita Income.
Ans: The histogram has long tail to the right. Hence, the given variable per Capita Income has a positive skew shape.
3. Calculate the five-number summary for the variable Per Capita Income, and represent it using a box plot.
Ans:


From the above box-plot, we can observe that the given variable has extremely large observations or outliers.
4. In detail, summarize what the information that a five-number summary for the variable Per Capita Income provides for the City of Chicago.
Ans: Let Q1=first quartile
Q2=Median=second quartile
Q3=third quartile
From the five-number summary, we know that
Q1 - Median < Q3 - Median
Hence, the given das has a positive skew.
The minimum value of the variable per capita income is 8535, the 25% observation of the per capita income lies below or equal to Q1=15467, the 50% observation of the per capita income are lies below or equal to Q2=20489, the 25% observation of the per capita income are lies below or equal to Q3=29026 and the maximum value of the given data is 87163.