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sider only those who have an infection. 1. For these subjects only, construct a stemplot for the variable “heart rate”. (We will be making this into a back-to-back stemplot later, so leave room on the left side.) 2. Discuss the shape

sider only those who have an infection. 1. For these subjects only, construct a stemplot for the variable “heart rate”. (We will be making this into a back-to-back stemplot later, so leave room on the left side.) 2. Discuss the shape

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
Problem 1P
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PART I: For this part, we will divide the data set into two groups: those who have infection and those who do not. Consider only those who have an infection.
1. For these subjects only, construct a stemplot for the variable “heart rate”. (We will be making this into a back-to-back stemplot later, so leave room on the left side.)
2. Discuss the shape of your stemplot. Is it symmetric? Positively skewed? Negatively skewed? None of these? Are there any outliers?
3. How would you describe the center and the spread of this distribution?
4. Find the five-number summary.
5. Construct a box plot. 

Systolic Blood Previous Нeart Admission to ID Code Vital Status Age Sex Cancer Infection Pressure Rate ICU 12 Lived 59 Male No No 112 80 Yes 38 Lived 69 Male No Yes 110 132 No 42 Lived 35 Male No Yes 90 140 No 75 Lived 52 Male No No 150 100 No 96 Lived 72 Male No No 110 144 No 137 Lived 74 Female No No 169 73 No 145 Died 67 Female No No 128 96 No 165 Died 92 Male No No 100 88 No 180 Lived 64 Female No No 170 115 Yes 190 Lived 53 Male No No 150 85 No 207 Lived 68 Male No Yes 110 118 No 208 Died 70 Male No No 148 95 Yes 211 Lived 66 Female No No 80 81 No 219 Lived 64 Male No No 130 140 No 238 Died 41 Male No No 136 80 No 292 Lived 61 Male No Yes 150 71 Yes 295 Lived 64 Male Yes No 190 114 No 299 Died 75 Male No Yes 141 140 No 310 Lived 18 Male Yes Yes 128 90 Yes 335 Lived 72 Female No No 140 76 No 376 Lived 23 Male No Yes 144 88 No 412 Died 51 Female No No 154 74 No 439 Lived 23 Female No No 104 111 No Male Female 44 455 468 Lived 67 No No 162 No Died 50 Yes Yes 130 55 No 495 Lived 65 Male No No 132 68 No 502 Lived 55 Male No No 190 136 No 508 Lived 55 Female No Yes 170 95 Yes 518 Died 71 Female No No 100 105 No 525 546 Lived 41 Female No No 146 112 No Lived 88 Female No No 160 80 Yes 563 Lived 83 Female No No 170 92 No 573 Lived 23 Male No No 190 88 No 598 Lived 48 Female No Yes 190 125 No 611 Died 85 Female No Yes 126 96 No 639 Lived 46 Male Yes Yes 134 100 Yes 655 Lived 58 Male No No 154 98 No 669 Lived 41 Female No No 70 112 No 713 Lived 47 Male No Yes 130 131 No 732 Lived 71 Male No Yes 78 143 135 No 740 Died 72 Female No No 131 No 746 Lived 70 Female No No 120 120 No 765 Lived 53 Male No No 204 52 No 784 Lived 60 Female No Yes 104 150 No 837 Lived 17 Female No No 130 52 No 875 Lived Lived Lived 69 Male No No 100 140 No 880 20 Male No No 160 60 No 912 71 120 Male Female No Yes 108 No 924 Lived 73 No No 138 103 No 929 Lived 42 Male No No 140 90 No 2222222222222222 232222222222222223225
Transcribed Image Text:Systolic Blood Previous Нeart Admission to ID Code Vital Status Age Sex Cancer Infection Pressure Rate ICU 12 Lived 59 Male No No 112 80 Yes 38 Lived 69 Male No Yes 110 132 No 42 Lived 35 Male No Yes 90 140 No 75 Lived 52 Male No No 150 100 No 96 Lived 72 Male No No 110 144 No 137 Lived 74 Female No No 169 73 No 145 Died 67 Female No No 128 96 No 165 Died 92 Male No No 100 88 No 180 Lived 64 Female No No 170 115 Yes 190 Lived 53 Male No No 150 85 No 207 Lived 68 Male No Yes 110 118 No 208 Died 70 Male No No 148 95 Yes 211 Lived 66 Female No No 80 81 No 219 Lived 64 Male No No 130 140 No 238 Died 41 Male No No 136 80 No 292 Lived 61 Male No Yes 150 71 Yes 295 Lived 64 Male Yes No 190 114 No 299 Died 75 Male No Yes 141 140 No 310 Lived 18 Male Yes Yes 128 90 Yes 335 Lived 72 Female No No 140 76 No 376 Lived 23 Male No Yes 144 88 No 412 Died 51 Female No No 154 74 No 439 Lived 23 Female No No 104 111 No Male Female 44 455 468 Lived 67 No No 162 No Died 50 Yes Yes 130 55 No 495 Lived 65 Male No No 132 68 No 502 Lived 55 Male No No 190 136 No 508 Lived 55 Female No Yes 170 95 Yes 518 Died 71 Female No No 100 105 No 525 546 Lived 41 Female No No 146 112 No Lived 88 Female No No 160 80 Yes 563 Lived 83 Female No No 170 92 No 573 Lived 23 Male No No 190 88 No 598 Lived 48 Female No Yes 190 125 No 611 Died 85 Female No Yes 126 96 No 639 Lived 46 Male Yes Yes 134 100 Yes 655 Lived 58 Male No No 154 98 No 669 Lived 41 Female No No 70 112 No 713 Lived 47 Male No Yes 130 131 No 732 Lived 71 Male No Yes 78 143 135 No 740 Died 72 Female No No 131 No 746 Lived 70 Female No No 120 120 No 765 Lived 53 Male No No 204 52 No 784 Lived 60 Female No Yes 104 150 No 837 Lived 17 Female No No 130 52 No 875 Lived Lived Lived 69 Male No No 100 140 No 880 20 Male No No 160 60 No 912 71 120 Male Female No Yes 108 No 924 Lived 73 No No 138 103 No 929 Lived 42 Male No No 140 90 No 2222222222222222 232222222222222223225
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