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DATA:  Gender Earnings Bill Male 2500 95 Male 2000 60 Male 1200 85 Male 1000 30 Male 2000 45 Male 0 15 Male 500 30 Male 750 20 Male 800 60 Male 0 40 Male 200 70 Male 4000 40 Male 450 150 Male 1600 400 Male 1000 30 Male 1600 45 Male 450 55 Male 700 80 Male 400 120 Male 800 45 Male 3000 70 Male 800 70 Male 1000 40 Male 1400 40 Male 960 115 Male 1500 60 Male 120 60 Male 800 100 Male 1500 80 Male 1900 45 Male 1250 50 Male 2000 30 Male 400 30 Male 3000 50 Male 1700 110 Male 500 40 Male 500 90 Male 2900 30 Male 140 5 Male 700 50 Male 900 90 Male 1700 40 Male 3800 60 Male 1200 50 Male 3000 100 Male 2000 75 Male 1700 60 Male 300 119 Male 1000 45 Male 1000 40 Male 400 60 Male 1600 60 Male 2000 50 Male 3000 78 Male 500 30 Male 744 170 Male 1400 80 Male 2000 50 Male 1556 87 Male 2200 70 Male 3000 70 Male 500 40 Male 1200 30 Male 1920 35 Male 1600 40 Male 1600 92 Male 1900 90 Male 2000 50 Male 1012 23 Male 150 70 Male 1100 50 Male 1500 60 Male 1000 30 Male 800 110 Male 1500 200 Male 1000 0 Male 0 20 Male 2000 100 Male 1200 110 Male 700 40 Male 200 69 Male 300 60 Male 500 80 Male 1500 80 Male 1600 50 Male 2000 30 Male 1200 60 Male 700 26 Male 2301.6 92.99 Male 200 90 Male 1200 36 Male 200 30 Male 3500 100 Male 2100 50 Male 400 30 Male 1200 40 Male 6411 95 Male 100 18 Male 2024 50 Male 0 20 Male 1000 40 Male 300 30 Male 650 35 Male 0 30 Male 1000 35 Male 30 30 Male 1000 40 Male 2000 90 Male 1200 86 Male 1300 0 Male 600 40 Male 1500 40 Male 500 40 Male 2400 80 Male 1200 40 Male 2900 30 Male 1000 40 Male 100 60 Male 400 45 Male 1400 40 Male 200 50 Male 1150 100 Male 0 50 Male 800 50 Male 350 20 Male 1400 20 Male 1000 30 Male 400 70 Male 1200 25 Male 0 40 Male 1500 20 Male 30 30 Male 450 25 Male 1250 30 Male 2300 56 Male 400 60 Male 750 30 Male 500 45 Male 1600 70 Male 860 40 Male 1000 30 Male 2450 150 Male 100 500 Male 1100 115 Male 120 30 Male 1500 120 Male 2040 40 Male 2700 110 Male 3000 40 Male 1000 40 Male 500 50 Male 1800 20 Male 800 45 Male 880 16 Male 400 50 Male 1900 100 Male 400 70 Male 600 30 Male 400 50 Male 1300 30 Male 650 40 Male 500 30 Male 1000 60 Male 3000 70 Male 50 25 Male 2000 60 Male 5000 120 Male 300 0 Female 3000 150 Female 1000 45 Female 1300 100 Female 3000 120 Female 1000 45 Female 0 600 Female 1500 100 Female 800 40 Female 2600 90 Female 1500 30 Female 1123.6 38 Female 1500 145 Female 1500 230 Female 1000 100 Female 4000 100 Female 800 40 Female 250 90 Female 1000 45 Female 1000 120 Female 1400 41 Female 1700 200 Female 1450 79 Female 1600 50 Female 800 40 Female 1500 103 Female 1500 35 Female 250 55 Female 100 95 Female 1000 30 Female 1300 150 Female 1500 26 Female 1300 70 Female 2200 100 Female 1500 50 Female 2500 100 Female 145 35 Female 1200 143 Female 600 90 Female 5000 100 Female 1600 90 Female 1000 40 Female 2600 49 Female 3200 44.95 Female 3010 30 Female 400 40 Female 1000 40 Female 1000 170 Female 1000 80 Female 0 40 Female 2000 40 Female 600 85 Female 0 25 Female 2000 120 Female 0 90 Female 2000 40 Female 1300 85 Female 1800 80 Female 800 80 Female 1200 40 Female 1500 60 Female 600 50 Female 850 70 Female 1000 45 Female 160 40 Female 350 50 Female 1800 60 Female 1500 50 Female 1500 40 Female 1000 20 Female 1500 120 Female 900 60 Female 600 18 Female 1750 45 Female 1500 39.99 Female 600 50 Female 4000 100 Female 900 110 Female 2500 60 Female 1500 50 Female 800 30 Female 1000 50 Female 600 30 Female 920 120 Female 500 30 Female 700 30 Female 4000 75 Female 500 27 Female 1400 80 Female 2000 100 Female 500 15 Female 800 100 Female 1000 70 Female 2000 120 Female 3000 60 Female 3384 90 Female 650 80 Female 250 30 Female 20 40 Female 2500 50 Female 800 40 Female 2000 100 Female 500 35 Female 1940 40 Female 1000 90 Female 2300 50 Female 650 90 Female 600 40 Female 1600 40 Female 1000 30 Female 80 30 Female 550 30 Female 500 60 Female 100 95 Female 800 50 Female 1200 120 Female 800 38 Female 1000 100 Female 1500 30 Female 2000 109 Female 1000 40 Female 50 40 Female 1700 100 Female 2300 100 Female 1000 40 Female 2500 40 Female 850 75 Female 600 30 Female 500 30 Female 400 50 Female 3500 100 Female 2800 40 Female 1000 30 Female 1200 113 Female 200 30 Female 1500 40 Female 5000 150 Female 840 138 Female 960 30 Female 200 29 Female 1300 50 Female 200 20 Female 1500 70 Female 400 45 Female 30 30 Female 1064 30 Female 1500 110 Female 6107.36 139 Female 1000 30 Female 500 110 Female 3000 140 Female 100 45 Female 1000 30 Female 60 80 Female 880 100 Female 280 100 Female 2400 87 Female 1000 30 Female 200 30 Female 500 40 Female 800 70 Female 5000 100 Female 800 20 Female 0 20 Female 1060 40 Female 2000 60 Female 0 10 Female 1000 35 Female 1000 20 Female 600 40 Female 350 10 Female 600 32 Female 2500 50 Female 270 50 Female 0 5 Female 100 30 Female 1000 200 Female 3000 45 Female 400 50 Female 2000 40 Female 700 80 Female 2600 39 Female 2400 90 Female 3000 25 Female 1100 85 Female 500 40 Female 3000 40 Female 880 80 Female 2000 80 Female 1800 45 Female 380 250 Female 500 40 Female 3000 80 Female 200 20 Female 2000 100 Female 1628.7 120 Female 1000 30 Female 0 35 Female 295 4 Female 200 0 Female 900 30 Female 500 40 Female 200 30 1. In the following table, report average monthly earnings and mobile bill of students by gender in your sample.   Female Male Average Monthly Earnings ($)     Average Monthly Bill ($)

DATA:  Gender Earnings Bill Male 2500 95 Male 2000 60 Male 1200 85 Male 1000 30 Male 2000 45 Male 0 15 Male 500 30 Male 750 20 Male 800 60 Male 0 40 Male 200 70 Male 4000 40 Male 450 150 Male 1600 400 Male 1000 30 Male 1600 45 Male 450 55 Male 700 80 Male 400 120 Male 800 45 Male 3000 70 Male 800 70 Male 1000 40 Male 1400 40 Male 960 115 Male 1500 60 Male 120 60 Male 800 100 Male 1500 80 Male 1900 45 Male 1250 50 Male 2000 30 Male 400 30 Male 3000 50 Male 1700 110 Male 500 40 Male 500 90 Male 2900 30 Male 140 5 Male 700 50 Male 900 90 Male 1700 40 Male 3800 60 Male 1200 50 Male 3000 100 Male 2000 75 Male 1700 60 Male 300 119 Male 1000 45 Male 1000 40 Male 400 60 Male 1600 60 Male 2000 50 Male 3000 78 Male 500 30 Male 744 170 Male 1400 80 Male 2000 50 Male 1556 87 Male 2200 70 Male 3000 70 Male 500 40 Male 1200 30 Male 1920 35 Male 1600 40 Male 1600 92 Male 1900 90 Male 2000 50 Male 1012 23 Male 150 70 Male 1100 50 Male 1500 60 Male 1000 30 Male 800 110 Male 1500 200 Male 1000 0 Male 0 20 Male 2000 100 Male 1200 110 Male 700 40 Male 200 69 Male 300 60 Male 500 80 Male 1500 80 Male 1600 50 Male 2000 30 Male 1200 60 Male 700 26 Male 2301.6 92.99 Male 200 90 Male 1200 36 Male 200 30 Male 3500 100 Male 2100 50 Male 400 30 Male 1200 40 Male 6411 95 Male 100 18 Male 2024 50 Male 0 20 Male 1000 40 Male 300 30 Male 650 35 Male 0 30 Male 1000 35 Male 30 30 Male 1000 40 Male 2000 90 Male 1200 86 Male 1300 0 Male 600 40 Male 1500 40 Male 500 40 Male 2400 80 Male 1200 40 Male 2900 30 Male 1000 40 Male 100 60 Male 400 45 Male 1400 40 Male 200 50 Male 1150 100 Male 0 50 Male 800 50 Male 350 20 Male 1400 20 Male 1000 30 Male 400 70 Male 1200 25 Male 0 40 Male 1500 20 Male 30 30 Male 450 25 Male 1250 30 Male 2300 56 Male 400 60 Male 750 30 Male 500 45 Male 1600 70 Male 860 40 Male 1000 30 Male 2450 150 Male 100 500 Male 1100 115 Male 120 30 Male 1500 120 Male 2040 40 Male 2700 110 Male 3000 40 Male 1000 40 Male 500 50 Male 1800 20 Male 800 45 Male 880 16 Male 400 50 Male 1900 100 Male 400 70 Male 600 30 Male 400 50 Male 1300 30 Male 650 40 Male 500 30 Male 1000 60 Male 3000 70 Male 50 25 Male 2000 60 Male 5000 120 Male 300 0 Female 3000 150 Female 1000 45 Female 1300 100 Female 3000 120 Female 1000 45 Female 0 600 Female 1500 100 Female 800 40 Female 2600 90 Female 1500 30 Female 1123.6 38 Female 1500 145 Female 1500 230 Female 1000 100 Female 4000 100 Female 800 40 Female 250 90 Female 1000 45 Female 1000 120 Female 1400 41 Female 1700 200 Female 1450 79 Female 1600 50 Female 800 40 Female 1500 103 Female 1500 35 Female 250 55 Female 100 95 Female 1000 30 Female 1300 150 Female 1500 26 Female 1300 70 Female 2200 100 Female 1500 50 Female 2500 100 Female 145 35 Female 1200 143 Female 600 90 Female 5000 100 Female 1600 90 Female 1000 40 Female 2600 49 Female 3200 44.95 Female 3010 30 Female 400 40 Female 1000 40 Female 1000 170 Female 1000 80 Female 0 40 Female 2000 40 Female 600 85 Female 0 25 Female 2000 120 Female 0 90 Female 2000 40 Female 1300 85 Female 1800 80 Female 800 80 Female 1200 40 Female 1500 60 Female 600 50 Female 850 70 Female 1000 45 Female 160 40 Female 350 50 Female 1800 60 Female 1500 50 Female 1500 40 Female 1000 20 Female 1500 120 Female 900 60 Female 600 18 Female 1750 45 Female 1500 39.99 Female 600 50 Female 4000 100 Female 900 110 Female 2500 60 Female 1500 50 Female 800 30 Female 1000 50 Female 600 30 Female 920 120 Female 500 30 Female 700 30 Female 4000 75 Female 500 27 Female 1400 80 Female 2000 100 Female 500 15 Female 800 100 Female 1000 70 Female 2000 120 Female 3000 60 Female 3384 90 Female 650 80 Female 250 30 Female 20 40 Female 2500 50 Female 800 40 Female 2000 100 Female 500 35 Female 1940 40 Female 1000 90 Female 2300 50 Female 650 90 Female 600 40 Female 1600 40 Female 1000 30 Female 80 30 Female 550 30 Female 500 60 Female 100 95 Female 800 50 Female 1200 120 Female 800 38 Female 1000 100 Female 1500 30 Female 2000 109 Female 1000 40 Female 50 40 Female 1700 100 Female 2300 100 Female 1000 40 Female 2500 40 Female 850 75 Female 600 30 Female 500 30 Female 400 50 Female 3500 100 Female 2800 40 Female 1000 30 Female 1200 113 Female 200 30 Female 1500 40 Female 5000 150 Female 840 138 Female 960 30 Female 200 29 Female 1300 50 Female 200 20 Female 1500 70 Female 400 45 Female 30 30 Female 1064 30 Female 1500 110 Female 6107.36 139 Female 1000 30 Female 500 110 Female 3000 140 Female 100 45 Female 1000 30 Female 60 80 Female 880 100 Female 280 100 Female 2400 87 Female 1000 30 Female 200 30 Female 500 40 Female 800 70 Female 5000 100 Female 800 20 Female 0 20 Female 1060 40 Female 2000 60 Female 0 10 Female 1000 35 Female 1000 20 Female 600 40 Female 350 10 Female 600 32 Female 2500 50 Female 270 50 Female 0 5 Female 100 30 Female 1000 200 Female 3000 45 Female 400 50 Female 2000 40 Female 700 80 Female 2600 39 Female 2400 90 Female 3000 25 Female 1100 85 Female 500 40 Female 3000 40 Female 880 80 Female 2000 80 Female 1800 45 Female 380 250 Female 500 40 Female 3000 80 Female 200 20 Female 2000 100 Female 1628.7 120 Female 1000 30 Female 0 35 Female 295 4 Female 200 0 Female 900 30 Female 500 40 Female 200 30 1. In the following table, report average monthly earnings and mobile bill of students by gender in your sample.   Female Male Average Monthly Earnings ($)     Average Monthly Bill ($)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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DATA: 

Gender Earnings Bill
Male 2500 95
Male 2000 60
Male 1200 85
Male 1000 30
Male 2000 45
Male 0 15
Male 500 30
Male 750 20
Male 800 60
Male 0 40
Male 200 70
Male 4000 40
Male 450 150
Male 1600 400
Male 1000 30
Male 1600 45
Male 450 55
Male 700 80
Male 400 120
Male 800 45
Male 3000 70
Male 800 70
Male 1000 40
Male 1400 40
Male 960 115
Male 1500 60
Male 120 60
Male 800 100
Male 1500 80
Male 1900 45
Male 1250 50
Male 2000 30
Male 400 30
Male 3000 50
Male 1700 110
Male 500 40
Male 500 90
Male 2900 30
Male 140 5
Male 700 50
Male 900 90
Male 1700 40
Male 3800 60
Male 1200 50
Male 3000 100
Male 2000 75
Male 1700 60
Male 300 119
Male 1000 45
Male 1000 40
Male 400 60
Male 1600 60
Male 2000 50
Male 3000 78
Male 500 30
Male 744 170
Male 1400 80
Male 2000 50
Male 1556 87
Male 2200 70
Male 3000 70
Male 500 40
Male 1200 30
Male 1920 35
Male 1600 40
Male 1600 92
Male 1900 90
Male 2000 50
Male 1012 23
Male 150 70
Male 1100 50
Male 1500 60
Male 1000 30
Male 800 110
Male 1500 200
Male 1000 0
Male 0 20
Male 2000 100
Male 1200 110
Male 700 40
Male 200 69
Male 300 60
Male 500 80
Male 1500 80
Male 1600 50
Male 2000 30
Male 1200 60
Male 700 26
Male 2301.6 92.99
Male 200 90
Male 1200 36
Male 200 30
Male 3500 100
Male 2100 50
Male 400 30
Male 1200 40
Male 6411 95
Male 100 18
Male 2024 50
Male 0 20
Male 1000 40
Male 300 30
Male 650 35
Male 0 30
Male 1000 35
Male 30 30
Male 1000 40
Male 2000 90
Male 1200 86
Male 1300 0
Male 600 40
Male 1500 40
Male 500 40
Male 2400 80
Male 1200 40
Male 2900 30
Male 1000 40
Male 100 60
Male 400 45
Male 1400 40
Male 200 50
Male 1150 100
Male 0 50
Male 800 50
Male 350 20
Male 1400 20
Male 1000 30
Male 400 70
Male 1200 25
Male 0 40
Male 1500 20
Male 30 30
Male 450 25
Male 1250 30
Male 2300 56
Male 400 60
Male 750 30
Male 500 45
Male 1600 70
Male 860 40
Male 1000 30
Male 2450 150
Male 100 500
Male 1100 115
Male 120 30
Male 1500 120
Male 2040 40
Male 2700 110
Male 3000 40
Male 1000 40
Male 500 50
Male 1800 20
Male 800 45
Male 880 16
Male 400 50
Male 1900 100
Male 400 70
Male 600 30
Male 400 50
Male 1300 30
Male 650 40
Male 500 30
Male 1000 60
Male 3000 70
Male 50 25
Male 2000 60
Male 5000 120
Male 300 0
Female 3000 150
Female 1000 45
Female 1300 100
Female 3000 120
Female 1000 45
Female 0 600
Female 1500 100
Female 800 40
Female 2600 90
Female 1500 30
Female 1123.6 38
Female 1500 145
Female 1500 230
Female 1000 100
Female 4000 100
Female 800 40
Female 250 90
Female 1000 45
Female 1000 120
Female 1400 41
Female 1700 200
Female 1450 79
Female 1600 50
Female 800 40
Female 1500 103
Female 1500 35
Female 250 55
Female 100 95
Female 1000 30
Female 1300 150
Female 1500 26
Female 1300 70
Female 2200 100
Female 1500 50
Female 2500 100
Female 145 35
Female 1200 143
Female 600 90
Female 5000 100
Female 1600 90
Female 1000 40
Female 2600 49
Female 3200 44.95
Female 3010 30
Female 400 40
Female 1000 40
Female 1000 170
Female 1000 80
Female 0 40
Female 2000 40
Female 600 85
Female 0 25
Female 2000 120
Female 0 90
Female 2000 40
Female 1300 85
Female 1800 80
Female 800 80
Female 1200 40
Female 1500 60
Female 600 50
Female 850 70
Female 1000 45
Female 160 40
Female 350 50
Female 1800 60
Female 1500 50
Female 1500 40
Female 1000 20
Female 1500 120
Female 900 60
Female 600 18
Female 1750 45
Female 1500 39.99
Female 600 50
Female 4000 100
Female 900 110
Female 2500 60
Female 1500 50
Female 800 30
Female 1000 50
Female 600 30
Female 920 120
Female 500 30
Female 700 30
Female 4000 75
Female 500 27
Female 1400 80
Female 2000 100
Female 500 15
Female 800 100
Female 1000 70
Female 2000 120
Female 3000 60
Female 3384 90
Female 650 80
Female 250 30
Female 20 40
Female 2500 50
Female 800 40
Female 2000 100
Female 500 35
Female 1940 40
Female 1000 90
Female 2300 50
Female 650 90
Female 600 40
Female 1600 40
Female 1000 30
Female 80 30
Female 550 30
Female 500 60
Female 100 95
Female 800 50
Female 1200 120
Female 800 38
Female 1000 100
Female 1500 30
Female 2000 109
Female 1000 40
Female 50 40
Female 1700 100
Female 2300 100
Female 1000 40
Female 2500 40
Female 850 75
Female 600 30
Female 500 30
Female 400 50
Female 3500 100
Female 2800 40
Female 1000 30
Female 1200 113
Female 200 30
Female 1500 40
Female 5000 150
Female 840 138
Female 960 30
Female 200 29
Female 1300 50
Female 200 20
Female 1500 70
Female 400 45
Female 30 30
Female 1064 30
Female 1500 110
Female 6107.36 139
Female 1000 30
Female 500 110
Female 3000 140
Female 100 45
Female 1000 30
Female 60 80
Female 880 100
Female 280 100
Female 2400 87
Female 1000 30
Female 200 30
Female 500 40
Female 800 70
Female 5000 100
Female 800 20
Female 0 20
Female 1060 40
Female 2000 60
Female 0 10
Female 1000 35
Female 1000 20
Female 600 40
Female 350 10
Female 600 32
Female 2500 50
Female 270 50
Female 0 5
Female 100 30
Female 1000 200
Female 3000 45
Female 400 50
Female 2000 40
Female 700 80
Female 2600 39
Female 2400 90
Female 3000 25
Female 1100 85
Female 500 40
Female 3000 40
Female 880 80
Female 2000 80
Female 1800 45
Female 380 250
Female 500 40
Female 3000 80
Female 200 20
Female 2000 100
Female 1628.7 120
Female 1000 30
Female 0 35
Female 295 4
Female 200 0
Female 900 30
Female 500 40
Female 200 30

1. In the following table, report average monthly earnings and mobile bill of students by gender in your sample.

 

Female

Male

Average Monthly Earnings ($)

 

 

Average Monthly Bill ($)

 

 

 

2. Estimate the 95% confidence interval of the average monthly bill for female students, and interpret your answer.

 

 

3. Produce a scatter plot (showing trend line, linear equation and R-squared) using Excel, to show the relationship between earnings and money spent on mobile phone for female students. Then interpret the linear equation and R-squared in the scatter plot for female students. 

 

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