.Using the information in the variable table below and the dataset complete the following questions.

1) Briefly describe the data set, including source information, using information provided in the data set file.

2) Briefly describe the method(s) that you used to analyze the data (i.e., TI Calculator, free web applets (specify and include URL), Excel (specify functions used), etc.).

						USD-Food	USD-Housing	USD-Transport
						6900	18514	145
						6937	18619	152
						6971	18520	136
						6943	18838	124
						7051	18502	168
						7040	18435	146
						6948	18483	133
						6953	18701	145
						7097	18676	134
						7073	18484	141
						6982	18312	153
						7051	18376	120
						6822	18334	135
						7179	18648	123
						7036	18389	114
						10983	23063	132
						9395	23155	151
						9101	22847	211
						9321	22621	168
						10564	25392	58
						10820	25728	167
						11226	22899	113
						11710	21893	47
						10821	22409	121
						8735	27964	60
						10346	25006	141
						8455	26783	36
						11724	23174	82
						11360	22396	162
						9035	22867	202
						9653	23400	152

3)Variable 1:Income

Numerical Summary.

Table 2. Descriptive Analysis for Variable 1

Variable	n	Measure(s) of Central Tendency	Measure(s) of Dispersion
Variable: Income		Mean = Median =	SD =

3)Graph and/or Table:

4)Grouped Frequency Table:

5) histogramofincome:

UniqueID#	SE-MaritalStatus	SE-Income	SE-AgeHeadHousehold	SE-FamilySize	USD-AnnualExpenditures	USD-Food	USD-Housing	USD-Transport
1	Not Married	97469	35	4	54929	6900	18514	145
2	Not Married	97912	49	1	55704	6937	18619	152
3	Not Married	96697	49	2	56453	6971	18520	136
4	Not Married	96653	51	4	56488	6943	18838	124
5	Not Married	96664	53	3	55558	7051	18502	168
6	Not Married	95744	52	4	55963	7040	18435	146
7	Not Married	94929	59	2	55247	6948	18483	133
8	Not Married	96928	43	3	55932	6953	18701	145
9	Not Married	97681	53	4	56124	7097	18676	134
10	Not Married	96244	56	4	56051	7073	18484	141
11	Not Married	96886	44	2	55321	6982	18312	153
12	Not Married	96727	39	2	56440	7051	18376	120
13	Not Married	96690	57	2	56097	6822	18334	135
14	Not Married	96572	59	2	56515	7179	18648	123
15	Not Married	98717	40	3	56393	7036	18389	114
16	Married	106292	57	4	82299	10983	23063	132
17	Married	95801	54	3	73798	9395	23155	151
18	Married	95385	50	4	74110	9101	22847	211
19	Married	95865	46	1	74789	9321	22621	168
20	Married	109312	37	6	80801	10564	25392	58
21	Married	114051	42	5	84486	10820	25728	167
22	Married	110651	58	4	83766	11226	22899	113
23	Married	107338	67	2	83651	11710	21893	47
24	Married	101829	45	4	82385	10821	22409	121
25	Married	102244	34	4	74687	8735	27964	60
26	Married	113558	31	5	79861	10346	25006	141
27	Married	100947	35	4	73973	8455	26783	36
28	Married	107369	66	2	83441	11724	23174	82
29	Married	106894	51	5	81585	11360	22396	162
30	Married	97769	47	5	73950	9035	22867	202
31	Married	98885	45	4	57795	9653	23400	152

Variable Name in data set	Description	Type of Variable (Qualitative or Quantitative)
Variable 1: "Income"	Annual household income in USD.	Quantitative
Variable 2:Marital Status	Marital Status of head of household	Qualitative
Variable 3: Family size	Total number of people in family (Adults & Children)	Quantitative
Variable 4: Annual Expenditure	Total amount of Annual Expenditure	Quantitative
Variable 5: Food	Total amount of Annual Expenditures on Food	Quantitative