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.