ATA: 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
ATA: 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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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. Estimate the 95% confidence interval of the average monthly bill for female students, and interpret your answer.
2. Produce a
Expert Solution
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