Fishing Only (n = 28) Fisher with alternative/supplemental livelihood (n = 172) 3,000 10,000 4,500 5,000 3,000 10,000 5,000 10,500 10,000 10,000 16,000 2,200 10,000 12,000 6,000 10,000 10,000 8,000 7,500 7,000 1,500 6,000 6,000 15,000 15,000 3,000 3,000 51,000 9,000 15,000 3,500 6,000 3,800 5,000 20,000 4,000 5,000 15,000 5,000 3,000 20,000 5,000 3,000 8,000 5,000 3,000 6,000 1,000 3,000 11,000 10,000 2,500 3,000 4,000 5,000 4,000 5,000 5,000 3,000 8,000 2,000 5,000 10,000 25,022 7,000 6,000 4,000 3,000 6,000 10,000 10,000 5,000 12,000 3,500 8,000 5,000 18,000 14,500 21,000 6,000 10,000 6,000 8,000 6,000 8,000 3,500 10,000 3,500 6,000 5,800 5,000 3,500 15,000 5,000 3,500 15,000 15,000 2,000 8,000 2,500 6,000 10,000 10,000 7,000 10,000 10,000 6,000 7,000 2,000 5,000 6,000 18,000 4,000 8,000 6,000 5,000 25,000 8,000 3,000 10,000 4,000 7,000 5,500 14,200 5,000 4,000 6,000 3,000 12,000 9,600 3,000 31,050 15,000 10,000 4,000 4,000 6,000 20,000 5,000 12,500 3,000 2,000 2,000 15,000 6,450 13,000 4,000 6,000 5,500 6,000 10,000 2,000 2,500 5,000 6,000 5,000 10,000 4,000 6,500 10,000 7,000 10,000 10,000 2,500 6,800 4,000 9,000 5,000 13,500 10,000 4,000 10,000 30,000 7,500 2,500 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 4,800 3,000 5,000 4,163 6,000 8,000 6,000 5,000 3,000 5,000 3,000 5,000
Fishing Only (n = 28) Fisher with alternative/supplemental livelihood (n = 172) 3,000 10,000 4,500 5,000 3,000 10,000 5,000 10,500 10,000 10,000 16,000 2,200 10,000 12,000 6,000 10,000 10,000 8,000 7,500 7,000 1,500 6,000 6,000 15,000 15,000 3,000 3,000 51,000 9,000 15,000 3,500 6,000 3,800 5,000 20,000 4,000 5,000 15,000 5,000 3,000 20,000 5,000 3,000 8,000 5,000 3,000 6,000 1,000 3,000 11,000 10,000 2,500 3,000 4,000 5,000 4,000 5,000 5,000 3,000 8,000 2,000 5,000 10,000 25,022 7,000 6,000 4,000 3,000 6,000 10,000 10,000 5,000 12,000 3,500 8,000 5,000 18,000 14,500 21,000 6,000 10,000 6,000 8,000 6,000 8,000 3,500 10,000 3,500 6,000 5,800 5,000 3,500 15,000 5,000 3,500 15,000 15,000 2,000 8,000 2,500 6,000 10,000 10,000 7,000 10,000 10,000 6,000 7,000 2,000 5,000 6,000 18,000 4,000 8,000 6,000 5,000 25,000 8,000 3,000 10,000 4,000 7,000 5,500 14,200 5,000 4,000 6,000 3,000 12,000 9,600 3,000 31,050 15,000 10,000 4,000 4,000 6,000 20,000 5,000 12,500 3,000 2,000 2,000 15,000 6,450 13,000 4,000 6,000 5,500 6,000 10,000 2,000 2,500 5,000 6,000 5,000 10,000 4,000 6,500 10,000 7,000 10,000 10,000 2,500 6,800 4,000 9,000 5,000 13,500 10,000 4,000 10,000 30,000 7,500 2,500 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 4,800 3,000 5,000 4,163 6,000 8,000 6,000 5,000 3,000 5,000 3,000 5,000
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter1: Solving Linear Equations
Section1.5: Rewriting Equations And Formula
Problem 48E
Related questions
Question
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 confidence level of = 0.05, is there a siginifant 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
a. Analyze manually
b. Analyze using SPSS
Transcribed Image Text:Fishing Only (n = 28)
3,000
5,000
15,000
15,000
8,000
4,000
2,000
8,000
10,000
5,800
8,000
7,000
8,000
10,000
15,000
6,000
2,500
6,500
10,000
3,000
Fisher with alternative/supplemental livelihood (n=172)
10,000 4,500
3,000 10,000
4,000 9,000
15,000 5,000
3,000
3,000 3,000 51,000
3,500 6,000 3,800
5,000 3,000 6,000
5,000 4,000 5,000
5,000 10,000 25,022
5,000 10,500 10,000 10,000 16,000 2,200 10,000
12,000 6,000 10,000 10,000 8,000 7,500 7,000
1,500 6,000 5,000 20,000
6,000 15,000 5,000
1,000 11,000 3,000
5,000 10,000 2,500
7,000 10,000 6,000
10,000
20,000
5,000
3,000
3,000 3,000
8,000
4,000
3,000
6,000
5,000 18,000
14,500
21,000
5,000 12,000 3,500
6,000
6,000
8,000
3,500 10,000
3,500
6,000
6,000 8,000
3,500 15,000 5,000
5,000
3,500 15,000
15,000
2,000
2,500
6,000 10,000
10,000
6,000
2,000 5,000
6,000 18,000 4,000
5,000
25,000
3,000
3,000 12,000 9,600
5,000
12,500
3,000
10,000 7,000 10,000
4,000 7,000 8,000
5,500 14,200 5,000 4,000 6,000
6,000
2,000
3,000 31,050 15,000 10,000 2,000
4,000 6,000 20,000
6,000 5,000 10,000
7,000 10,000 4,000
7,500 2,500 9,000
6,450 13,000
4,000
4,000
5,500 6,000 10,000
2,000
5,000
4,000
2,500 6,800 10,000
10,000
10,000
5,000 13,500
4,000
30,000
3,000
5,500
12,000
3,000
3,000 4,000 15,000
4,000 6,000 7,500 5,000
1,300
4,800
3,000
5,000
4,163
6,000
8,000
6,000
5,000
3,000
5,000
3,000
5,000
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