Of the 200 randomly selected local fishers, 28 are solely fishing as income source and 172 have alternative or supplemental livelihood such as getting employed as a construction worker, farmer, carpenter, motorcycle/tricycle driver, selling/vending souvenir and other products, or working in a passenger boat batil or tripolante (i.e., captain or crew). Their estimated monthly income (in PhP) are shown below. Using α = 0.05, is there a significant difference in the monthly income of fishers whose sole livelihood is fishing compared to those with alternative/supplemental income sources? Assume that the fishers income is normally distributeda) Analyze manuallyb) Analyse using SPSS Fishing Only (n = 28)10,0003,0003,0003,5005,0005,0005,0005,000Fisher with alternative/supplemental livelihood (n = 172)3,0004,5005,00010,50010,00010,00016,0002,20010,0004,8005,00010,00012,0006,00010,00010,0008,0007,5007,0003,00015,0003,00051,0001,5006,0005,00020,0004,0009,0005,0006,0003,8005,0003,0004,1636,00015,0006,00015,0005,00015,0008,0003,0006,0001,00011,0003,00020,0005,0003,0004,0004,0005,0005,00010,0002,5003,0003,0008,0008,0002,00010,00025,0227,00010,0006,0004,0003,0006,0006,0008,00018,00014,50021,00010,0005,00012,0003,5006,0005,00010,0006,0008,0006,0008,0003,50010,0003,5006,0003,0005,8005,0003,50015,0005,0003,50015,00015,0002,0005,0008,0002,5006,00010,00010,0007,00010,00010,0006,0003,0007,0002,0005,0004,0007,0008,0006,00018,0004,0005,0008,0005,50014,2005,0004,0006,0005,00025,0003,00010,0006,0003,00012,0009,6002,0005,00012,5003,00015,0003,00031,05015,00010,0002,0006,45013,0004,0006,0004,0004,0006,00020,0005,5006,00010,0002,0002,5005,0006,0005,00010,0002,5006,80010,0004,0006,50010,0007,00010,0004,0005,00013,50010,0004,00010,00030,0007,5002,5009,0003,0005,50012,0003,0003,0003,0004,00015,0004,0006,0007,5005,0001,300

a) Given claim: There a significant difference in the monthly income of fishers whose sole…

Answered: Of the 200 randomly selected local…

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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Of the 200 randomly selected local fishers, 28 are solely fishing as income source and 172 have alternative or supplemental livelihood such as getting employed as a construction worker, farmer, carpenter, motorcycle/tricycle driver, selling/vending souvenir and other products, or working in a passenger boat batil or tripolante (i.e., captain or crew). Their estimated monthly income (in PhP) are shown below. Using α = 0.05, is there a significant difference in the monthly income of fishers whose sole livelihood is fishing compared to those with alternative/supplemental income sources? Assume that the fishers income is normally distributed

a) Analyze manually

b) Analyse using SPSS

Fishing Only (n = 28)
10,000
3,000
3,000
3,500
5,000
5,000
5,000
5,000
Fisher with alternative/supplemental livelihood (n = 172)
3,000
4,500
5,000
10,500
10,000
10,000
16,000
2,200
10,000
4,800
5,000
10,000
12,000
6,000
10,000
10,000
8,000
7,500
7,000
3,000
15,000
3,000
51,000
1,500
6,000
5,000
20,000
4,000
9,000
5,000
6,000
3,800
5,000
3,000
4,163
6,000
15,000
6,000
15,000
5,000
15,000
8,000
3,000
6,000
1,000
11,000
3,000
20,000
5,000
3,000
4,000
4,000
5,000
5,000
10,000
2,500
3,000
3,000
8,000
8,000
2,000
10,000
25,022
7,000
10,000
6,000
4,000
3,000
6,000
6,000
8,000
18,000
14,500
21,000
10,000
5,000
12,000
3,500
6,000
5,000
10,000
6,000
8,000
6,000
8,000
3,500
10,000
3,500
6,000
3,000
5,800
5,000
3,500
15,000
5,000
3,500
15,000
15,000
2,000
5,000
8,000
2,500
6,000
10,000
10,000
7,000
10,000
10,000
6,000
3,000
7,000
2,000
5,000
4,000
7,000
8,000
6,000
18,000
4,000
5,000
8,000
5,500
14,200
5,000
4,000
6,000
5,000
25,000
3,000
10,000
6,000
3,000
12,000
9,600
2,000
5,000
12,500
3,000
15,000
3,000
31,050
15,000
10,000
2,000
6,450
13,000
4,000
6,000
4,000
4,000
6,000
20,000
5,500
6,000
10,000
2,000
2,500
5,000
6,000
5,000
10,000
2,500
6,800
10,000
4,000
6,500
10,000
7,000
10,000
4,000
5,000
13,500
10,000
4,000
10,000
30,000
7,500
2,500
9,000
3,000
5,500
12,000
3,000
3,000
3,000
4,000
15,000
4,000
6,000
7,500
5,000
1,300

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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