MATH-533 Applied Managerial Statistics
Course Project Part A

Introduction

It is so interesting to choose sections location, an income and size as representative of my course project. From the list, it really makes me an interest of trend of people who is living in urban, has how many of family members and how much they earn. Basically I would like to categorize the direction of cluster of people and their desires to live which area of country.
First, I am going to analyze the locations versus family size, and then family size versus to income. Then I will analyze further how many of family and location has how much income which helps us to reveal to pay back the credits.

1st Individual Variable (Location) Table 1 and graph 1 Location | Number of houses | Rural | 14 | Suburban | 15 | Urban | 21 |

From the table 1 and graph 1 shows the number of houses and number of locations. Based on the information customers from AJ Davis tend to live in the Urban area rather than the suburban and rural area.
2nd individual variable (Size) Size (family members) | number of objects | 1 | 5 | 2 | 15 | 3 | 8 | 4 | 9 | 5 | 5 | 6 | 5 | 7 | 3 |

Graph 2 and table 2
Based on table 2 information following data comes out.
(Numbers of customers) Minimum: 3
Median:5
Q3:8.5
Maximum:15
Based on the graph 2 and table 2, most of the customers intend to have less than 5 family members. The majority of customers have 2 family members and only 3 of them have big family members like 7.
3rd Individual Variable (Income) Income (1000$) | # family | Income (1000$) | # family | Income (1000$) | # family | Income (1000$) | # family | Income (1000$) | # family | 21 | 2 | 30 | 3 | 39 | 2 | 50 | 2 | 63 | 1 | 22 | 2 | 31 | 1 | 40 | 1 | 51 | 1 | 64 | 1 | 23 | 1 | 32 | 1 | 41 | 1 | 52 | 1 | 65 | 1 | 25 | 1 | 33 | 1 | 42 | 2 | 54 | 3 | 66 | 2 | 26 | 1 | 34 | 1 | 44 | 1 | 55 | 3 | 67 | 2 | 27 | 2 | 35 | 1 | 46 | 1 | 61 | 1 | | | 29 | 1 | 37 | 2 | 48 | 2 | 62 | 2 | | |
Table 3