Below is a dataset of 100 employees opted into Brainchild Informatics' current company benefits package. Responses have been recorded and align to the following key, which will help determine the demographic and houshold details of those that utilize or will utilize the company's benefit offerings. SEX: 1. Male; 2. Female RACE: 1. White; 2. Black; 3. Other MARITAL: 1. Married; 2. Widowed; 3. Divorced; 4. Separated; 5. Never married CHILDS: Number of children HOUSEHOLD INCOME: continuous numerical type AGE: continuous numerical type Please review the statements below to determine the relationship of the data based on the statistical analysis. Please provide detailed conclusions and types of tests used. a. Based on the sample data, we determine that there is a positive relationship between white employees having a higher household income than that of non-white employees. b. We also determine that there are fewer employees with no children, under age 26 and never married within the sample population SEX AGE RACE MARITAL CHILDS INCOME 1 1 37 3 5 0 55,000 2 2 27 1 1 3 37,500 3 2 26 1 1 2 55,000 4 1 46 1 5 1 45,000 5 2 56 1 5 4 82,500 6 2 45 3 3 1 32,500 7 1 62 1 3 2 45,000 8 1 48 2 3 4 67,500 9 1 31 2 5 0 45,000 10 1 37 2 5 0 67,500 11 2 35 2 5 2 21,250 12 2 26 1 5 2 37,500 13 2 54 1 1 1 6,500 14 2 36 1 5 1 27,500 15 2 79 1 1 4 11,250 16 2 78 2 3 5 11,250 17 1 27 1 5 0 23,750 18 1 41 1 1 2 100,000 19 1 63 1 3 0 37,500 20 1 25 2 5 0 27,500 21 2 32 1 1 2 11,250 22 2 34 2 5 2 9,000 23 1 46 3 1 2 82,500 24 1 50 1 1 4 37,500 25 2 34 3 4 3 37,500 26 2 22 1 5 3 5,500 27 1 35 1 1 2 32,500 28 2 41 1 1 3 23,750 29 2 53 1 1 3 23,750 30 2 54 1 1 4 18,750 31 2 38 1 1 3 45,000 32 2 35 1 1 4 37,500 33 1 19 2 5 0 11,250 34 1 46 3 1 2 175,000 35 2 68 1 1 2 27,500 36 2 41 1 4 0 55,000 37 2 61 3 1 0 21,250 38 1 56 1 1 0 55,000 39 2 33 1 3 2 23,750 40 2 24 3 5 0 45,000 41 1 69 1 1 0 175,000 42 1 61 1 1 2 175,000 43 2 78 2 2 0 9,000 44 1 43 1 2 1 11,250 45 1 52 1 3 2 3,500 46 1 59 1 5 0 2,000 47 1 69 1 3 0 175,000 48 1 37 1 1 1 82,500 49 2 41 1 1 1 140,000 50 2 59 1 3 2 2,000 51 2 23 1 5 0 18,750 52 1 19 3 5 0 120,000 53 2 30 1 5 0 27,500 54 1 19 1 5 0 55,000 55 2 51 3 5 1 175,000 56 2 61 1 1 2 140,000 57 2 45 1 1 3 67,500 58 1 58 3 1 3 55,000 59 2 75 3 1 4 21,250 60 1 89 1 2 4 18,750 61 2 41 3 5 2 21,250 62 2 58 3 1 2 100,000 63 1 72 1 1 3 55,000 64 2 66 1 3 2 67,500 65 2 21 2 5 0 11,250 66 2 45 1 3 1 175,000 67 1 58 1 1 0 67,500 68 2 50 1 1 2 67,500 69 2 55 1 3 1 500 70 1 43 1 3 1 175,000 71 2 31 1 1 1 32,500 72 2 30 1 5 1 32,500 73 2 42 2 5 6 13,750 74 2 25 3 1 4 23,750 75 2 80 1 2 4 37,500 76 2 58 1 3 0 16,250 77 2 40 1 1 6 3,500 78 1 78 1 4 1 45,000 79 2 78 1 2 2 5,500 80 2 46 1 1 3 175,000 81 1 43 1 1 2 100,000 82 1 81 1 1 3 100,000 83 1 48 2 3 2 45,000 84 2 48 3 5 2 67,500 85 1 57 2 1 3 82,500 86 2 29 1 5 1 18,750 87 2 29 2 5 0 45,000 88 2 50 2 3 5 67,500 89 1 30 1 1 0 67,500 90 1 32 1 1 2 82,500 91 2 18 1 5 0 500 92 2 85 1 3 4 45,000 93 1 51 1 3 0 9,000 94 2 26 1 4 2 27,500 95 1 38 1 1 1 140,000 96 2 39 3 1 3 82,500 97 1 20 1 5 0 100,000 98 2 39 1 1 3 82,500 99 2 57 1 1 2 140,000 100 1 31 1 5 1 55,000

Below is a dataset of 100 employees opted into Brainchild Informatics' current company benefits package. Responses have been recorded and align to the following key, which will help determine the demographic and houshold details of those that utilize or will utilize the company's benefit offerings. SEX: 1. Male; 2. Female RACE: 1. White; 2. Black; 3. Other MARITAL: 1. Married; 2. Widowed; 3. Divorced; 4. Separated; 5. Never married CHILDS: Number of children HOUSEHOLD INCOME: continuous numerical type AGE: continuous numerical type Please review the statements below to determine the relationship of the data based on the statistical analysis. Please provide detailed conclusions and types of tests used. a. Based on the sample data, we determine that there is a positive relationship between white employees having a higher household income than that of non-white employees. b. We also determine that there are fewer employees with no children, under age 26 and never married within the sample population SEX AGE RACE MARITAL CHILDS INCOME 1 1 37 3 5 0 55,000 2 2 27 1 1 3 37,500 3 2 26 1 1 2 55,000 4 1 46 1 5 1 45,000 5 2 56 1 5 4 82,500 6 2 45 3 3 1 32,500 7 1 62 1 3 2 45,000 8 1 48 2 3 4 67,500 9 1 31 2 5 0 45,000 10 1 37 2 5 0 67,500 11 2 35 2 5 2 21,250 12 2 26 1 5 2 37,500 13 2 54 1 1 1 6,500 14 2 36 1 5 1 27,500 15 2 79 1 1 4 11,250 16 2 78 2 3 5 11,250 17 1 27 1 5 0 23,750 18 1 41 1 1 2 100,000 19 1 63 1 3 0 37,500 20 1 25 2 5 0 27,500 21 2 32 1 1 2 11,250 22 2 34 2 5 2 9,000 23 1 46 3 1 2 82,500 24 1 50 1 1 4 37,500 25 2 34 3 4 3 37,500 26 2 22 1 5 3 5,500 27 1 35 1 1 2 32,500 28 2 41 1 1 3 23,750 29 2 53 1 1 3 23,750 30 2 54 1 1 4 18,750 31 2 38 1 1 3 45,000 32 2 35 1 1 4 37,500 33 1 19 2 5 0 11,250 34 1 46 3 1 2 175,000 35 2 68 1 1 2 27,500 36 2 41 1 4 0 55,000 37 2 61 3 1 0 21,250 38 1 56 1 1 0 55,000 39 2 33 1 3 2 23,750 40 2 24 3 5 0 45,000 41 1 69 1 1 0 175,000 42 1 61 1 1 2 175,000 43 2 78 2 2 0 9,000 44 1 43 1 2 1 11,250 45 1 52 1 3 2 3,500 46 1 59 1 5 0 2,000 47 1 69 1 3 0 175,000 48 1 37 1 1 1 82,500 49 2 41 1 1 1 140,000 50 2 59 1 3 2 2,000 51 2 23 1 5 0 18,750 52 1 19 3 5 0 120,000 53 2 30 1 5 0 27,500 54 1 19 1 5 0 55,000 55 2 51 3 5 1 175,000 56 2 61 1 1 2 140,000 57 2 45 1 1 3 67,500 58 1 58 3 1 3 55,000 59 2 75 3 1 4 21,250 60 1 89 1 2 4 18,750 61 2 41 3 5 2 21,250 62 2 58 3 1 2 100,000 63 1 72 1 1 3 55,000 64 2 66 1 3 2 67,500 65 2 21 2 5 0 11,250 66 2 45 1 3 1 175,000 67 1 58 1 1 0 67,500 68 2 50 1 1 2 67,500 69 2 55 1 3 1 500 70 1 43 1 3 1 175,000 71 2 31 1 1 1 32,500 72 2 30 1 5 1 32,500 73 2 42 2 5 6 13,750 74 2 25 3 1 4 23,750 75 2 80 1 2 4 37,500 76 2 58 1 3 0 16,250 77 2 40 1 1 6 3,500 78 1 78 1 4 1 45,000 79 2 78 1 2 2 5,500 80 2 46 1 1 3 175,000 81 1 43 1 1 2 100,000 82 1 81 1 1 3 100,000 83 1 48 2 3 2 45,000 84 2 48 3 5 2 67,500 85 1 57 2 1 3 82,500 86 2 29 1 5 1 18,750 87 2 29 2 5 0 45,000 88 2 50 2 3 5 67,500 89 1 30 1 1 0 67,500 90 1 32 1 1 2 82,500 91 2 18 1 5 0 500 92 2 85 1 3 4 45,000 93 1 51 1 3 0 9,000 94 2 26 1 4 2 27,500 95 1 38 1 1 1 140,000 96 2 39 3 1 3 82,500 97 1 20 1 5 0 100,000 98 2 39 1 1 3 82,500 99 2 57 1 1 2 140,000 100 1 31 1 5 1 55,000

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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Related questions

Question

100%

SEX: 1. Male; 2. Female

RACE: 1. White; 2. Black; 3. Other

MARITAL: 1. Married; 2. Widowed; 3. Divorced; 4. Separated; 5. Never married

CHILDS: Number of children

HOUSEHOLD INCOME: continuous numerical type

AGE: continuous numerical type

Please review the statements below to determine the relationship of the data based on the statistical analysis. Please provide detailed conclusions and types of tests used.

a. Based on the sample data, we determine that there is a positive relationship between white employees having a higher household income than that of non-white employees.

b. We also determine that there are fewer employees with no children, under age 26 and never married within the sample population

	SEX	AGE	RACE	MARITAL	CHILDS	INCOME
1	1	37	3	5	0	55,000
2	2	27	1	1	3	37,500
3	2	26	1	1	2	55,000
4	1	46	1	5	1	45,000
5	2	56	1	5	4	82,500
6	2	45	3	3	1	32,500
7	1	62	1	3	2	45,000
8	1	48	2	3	4	67,500
9	1	31	2	5	0	45,000
10	1	37	2	5	0	67,500
11	2	35	2	5	2	21,250
12	2	26	1	5	2	37,500
13	2	54	1	1	1	6,500
14	2	36	1	5	1	27,500
15	2	79	1	1	4	11,250
16	2	78	2	3	5	11,250
17	1	27	1	5	0	23,750
18	1	41	1	1	2	100,000
19	1	63	1	3	0	37,500
20	1	25	2	5	0	27,500
21	2	32	1	1	2	11,250
22	2	34	2	5	2	9,000
23	1	46	3	1	2	82,500
24	1	50	1	1	4	37,500
25	2	34	3	4	3	37,500
26	2	22	1	5	3	5,500
27	1	35	1	1	2	32,500
28	2	41	1	1	3	23,750
29	2	53	1	1	3	23,750
30	2	54	1	1	4	18,750
31	2	38	1	1	3	45,000
32	2	35	1	1	4	37,500
33	1	19	2	5	0	11,250
34	1	46	3	1	2	175,000
35	2	68	1	1	2	27,500
36	2	41	1	4	0	55,000
37	2	61	3	1	0	21,250
38	1	56	1	1	0	55,000
39	2	33	1	3	2	23,750
40	2	24	3	5	0	45,000
41	1	69	1	1	0	175,000
42	1	61	1	1	2	175,000
43	2	78	2	2	0	9,000
44	1	43	1	2	1	11,250
45	1	52	1	3	2	3,500
46	1	59	1	5	0	2,000
47	1	69	1	3	0	175,000
48	1	37	1	1	1	82,500
49	2	41	1	1	1	140,000
50	2	59	1	3	2	2,000
51	2	23	1	5	0	18,750
52	1	19	3	5	0	120,000
53	2	30	1	5	0	27,500
54	1	19	1	5	0	55,000
55	2	51	3	5	1	175,000
56	2	61	1	1	2	140,000
57	2	45	1	1	3	67,500
58	1	58	3	1	3	55,000
59	2	75	3	1	4	21,250
60	1	89	1	2	4	18,750
61	2	41	3	5	2	21,250
62	2	58	3	1	2	100,000
63	1	72	1	1	3	55,000
64	2	66	1	3	2	67,500
65	2	21	2	5	0	11,250
66	2	45	1	3	1	175,000
67	1	58	1	1	0	67,500
68	2	50	1	1	2	67,500
69	2	55	1	3	1	500
70	1	43	1	3	1	175,000
71	2	31	1	1	1	32,500
72	2	30	1	5	1	32,500
73	2	42	2	5	6	13,750
74	2	25	3	1	4	23,750
75	2	80	1	2	4	37,500
76	2	58	1	3	0	16,250
77	2	40	1	1	6	3,500
78	1	78	1	4	1	45,000
79	2	78	1	2	2	5,500
80	2	46	1	1	3	175,000
81	1	43	1	1	2	100,000
82	1	81	1	1	3	100,000
83	1	48	2	3	2	45,000
84	2	48	3	5	2	67,500
85	1	57	2	1	3	82,500
86	2	29	1	5	1	18,750
87	2	29	2	5	0	45,000
88	2	50	2	3	5	67,500
89	1	30	1	1	0	67,500
90	1	32	1	1	2	82,500
91	2	18	1	5	0	500
92	2	85	1	3	4	45,000
93	1	51	1	3	0	9,000
94	2	26	1	4	2	27,500
95	1	38	1	1	1	140,000
96	2	39	3	1	3	82,500
97	1	20	1	5	0	100,000
98	2	39	1	1	3	82,500
99	2	57	1	1	2	140,000
100	1	31	1	5	1	55,000

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