Obtain the appropriate measure of dispersion for age and both income variables. DATA Subject Gender Marital Status Age Education Household Income Personal Income 1 F 1 30 0 70000.00 40000.00 2 F 0 40 0 32500.00 32500.00 3 M 1 45 0 42000.00 .0 4 M 1 23 0 50000.00 50000.00 5 M 0 50 0 4500.00 4500.00 6 F 0 65 1 40000.00 22000.00 7 F 1 33 1 12000.00 12000.00 8 F 0 20 2 56000.00 52000.00 9 F missing 30 3 17500.00 17500.00 10 M 1 Missing 4 44000.00 39000.00 11 M 2 58 1 missing missing 12 M 2 32 2 10000.00 10000.00 13 M 1 35 3 missing missing 14 F 2 23 4 100000.00 50000.00 15 F 2 34 1 64000.00 64000.00 16 M 1 26 2 Missing missing 17 M 1 36 3 missing missing 18 F 0 41 4 7500.00 5500.00 19 F 0 43 1 missing missing 20 F 1 46 2 100000.00 missing 21 F 1 18 3 24000.00 24000.00 22 F 1 40 4 42000.00 22000.00 23 M 2 19 1 missing missing 24 M 2 23 2 missing missing 25 M 2 24 3 3500.00 3500.00 26 F 1 55 4 45000.00 22500.00 27 M 1 52 1 350000.00 .0 28 M 1 34 2 5000.00 5000.00 29 F 0 35 3 10000.00 310400.00 30 M 0 61 4 55000.00 42000.00 31 F 0 63 1 25000.00 25000.00 32 M 1 66 2 22000.00 22000.00 33 M 1 42 3 40000.00 40000.00 34 M missing 47 4 40000.00 40000.00 35 F 1 48 missing missing missing 36 F 2 45 0 18000.00 18000.00 37 M 2 34 0 50000.00 50000.00 38 M 0 65 0 200000.00 missing 39 M 1 58 1 50000.00 .0 40 F 1 missing 2 missing missing 41 F 0 19 1 3500.00 2000.00 42 F 0 22 1 55000.00 35000.00 43 F 0 30 1 60000.00 40000.00 44 F 0 35 1 300000.00 150000.00 45 F 1 40 4 800000.00 600000.00 46 F 1 42 4 3600.00 2000.00 47 F 1 48 4 333000.00 153000.00 48 M 1 50 3 4500.00 2500.00 49 F 1 55 2 56000.00 36000.00 50 M 0 47 1 55000.00 35000.00 51 M 1 45 0 100000.00 50000.00 52 M missing 33 0 60000.00 35000.00 53 F 1 25 1 505000.00 350000.00 54 M 0 68 2 4200.00 2200.00 55 F 0 72 2 missing .0 56 F 1 68 3 31000.00 20000.00 57 M 1 33 4 250.00 150.00 58 M 1 35 missing 45000.00 30000.00 59 F 1 56 3 25000.00 15000.00 60 F 0 65 3 23000.00 20000.00 **Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9)

Obtain the appropriate measure of dispersion for age and both income variables. DATA Subject Gender Marital Status Age Education Household Income Personal Income 1 F 1 30 0 70000.00 40000.00 2 F 0 40 0 32500.00 32500.00 3 M 1 45 0 42000.00 .0 4 M 1 23 0 50000.00 50000.00 5 M 0 50 0 4500.00 4500.00 6 F 0 65 1 40000.00 22000.00 7 F 1 33 1 12000.00 12000.00 8 F 0 20 2 56000.00 52000.00 9 F missing 30 3 17500.00 17500.00 10 M 1 Missing 4 44000.00 39000.00 11 M 2 58 1 missing missing 12 M 2 32 2 10000.00 10000.00 13 M 1 35 3 missing missing 14 F 2 23 4 100000.00 50000.00 15 F 2 34 1 64000.00 64000.00 16 M 1 26 2 Missing missing 17 M 1 36 3 missing missing 18 F 0 41 4 7500.00 5500.00 19 F 0 43 1 missing missing 20 F 1 46 2 100000.00 missing 21 F 1 18 3 24000.00 24000.00 22 F 1 40 4 42000.00 22000.00 23 M 2 19 1 missing missing 24 M 2 23 2 missing missing 25 M 2 24 3 3500.00 3500.00 26 F 1 55 4 45000.00 22500.00 27 M 1 52 1 350000.00 .0 28 M 1 34 2 5000.00 5000.00 29 F 0 35 3 10000.00 310400.00 30 M 0 61 4 55000.00 42000.00 31 F 0 63 1 25000.00 25000.00 32 M 1 66 2 22000.00 22000.00 33 M 1 42 3 40000.00 40000.00 34 M missing 47 4 40000.00 40000.00 35 F 1 48 missing missing missing 36 F 2 45 0 18000.00 18000.00 37 M 2 34 0 50000.00 50000.00 38 M 0 65 0 200000.00 missing 39 M 1 58 1 50000.00 .0 40 F 1 missing 2 missing missing 41 F 0 19 1 3500.00 2000.00 42 F 0 22 1 55000.00 35000.00 43 F 0 30 1 60000.00 40000.00 44 F 0 35 1 300000.00 150000.00 45 F 1 40 4 800000.00 600000.00 46 F 1 42 4 3600.00 2000.00 47 F 1 48 4 333000.00 153000.00 48 M 1 50 3 4500.00 2500.00 49 F 1 55 2 56000.00 36000.00 50 M 0 47 1 55000.00 35000.00 51 M 1 45 0 100000.00 50000.00 52 M missing 33 0 60000.00 35000.00 53 F 1 25 1 505000.00 350000.00 54 M 0 68 2 4200.00 2200.00 55 F 0 72 2 missing .0 56 F 1 68 3 31000.00 20000.00 57 M 1 33 4 250.00 150.00 58 M 1 35 missing 45000.00 30000.00 59 F 1 56 3 25000.00 15000.00 60 F 0 65 3 23000.00 20000.00 **Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Obtain the appropriate measure of dispersion for age and both income variables.

DATA

Subject	Gender	Marital Status	Age	Education	Household Income	Personal Income
1	F	1	30	0	70000.00	40000.00
2	F	0	40	0	32500.00	32500.00
3	M	1	45	0	42000.00	.0
4	M	1	23	0	50000.00	50000.00
5	M	0	50	0	4500.00	4500.00
6	F	0	65	1	40000.00	22000.00
7	F	1	33	1	12000.00	12000.00
8	F	0	20	2	56000.00	52000.00
9	F	missing	30	3	17500.00	17500.00
10	M	1	Missing	4	44000.00	39000.00
11	M	2	58	1	missing	missing
12	M	2	32	2	10000.00	10000.00
13	M	1	35	3	missing	missing
14	F	2	23	4	100000.00	50000.00
15	F	2	34	1	64000.00	64000.00
16	M	1	26	2	Missing	missing
17	M	1	36	3	missing	missing
18	F	0	41	4	7500.00	5500.00
19	F	0	43	1	missing	missing
20	F	1	46	2	100000.00	missing
21	F	1	18	3	24000.00	24000.00
22	F	1	40	4	42000.00	22000.00
23	M	2	19	1	missing	missing
24	M	2	23	2	missing	missing
25	M	2	24	3	3500.00	3500.00
26	F	1	55	4	45000.00	22500.00
27	M	1	52	1	350000.00	.0
28	M	1	34	2	5000.00	5000.00
29	F	0	35	3	10000.00	310400.00
30	M	0	61	4	55000.00	42000.00
31	F	0	63	1	25000.00	25000.00
32	M	1	66	2	22000.00	22000.00
33	M	1	42	3	40000.00	40000.00
34	M	missing	47	4	40000.00	40000.00
35	F	1	48	missing	missing	missing
36	F	2	45	0	18000.00	18000.00
37	M	2	34	0	50000.00	50000.00
38	M	0	65	0	200000.00	missing
39	M	1	58	1	50000.00	.0
40	F	1	missing	2	missing	missing
41	F	0	19	1	3500.00	2000.00
42	F	0	22	1	55000.00	35000.00
43	F	0	30	1	60000.00	40000.00
44	F	0	35	1	300000.00	150000.00
45	F	1	40	4	800000.00	600000.00
46	F	1	42	4	3600.00	2000.00
47	F	1	48	4	333000.00	153000.00
48	M	1	50	3	4500.00	2500.00
49	F	1	55	2	56000.00	36000.00
50	M	0	47	1	55000.00	35000.00
51	M	1	45	0	100000.00	50000.00
52	M	missing	33	0	60000.00	35000.00
53	F	1	25	1	505000.00	350000.00
54	M	0	68	2	4200.00	2200.00
55	F	0	72	2	missing	.0
56	F	1	68	3	31000.00	20000.00
57	M	1	33	4	250.00	150.00
58	M	1	35	missing	45000.00	30000.00
59	F	1	56	3	25000.00	15000.00
60	F	0	65	3	23000.00	20000.00

**Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9)

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