Answered: Are cigarettes bad for people?…

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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Are cigarettes bad for people? Cigarette smoking involves tar, carbon monoxide, and nicotine (measured in milligrams). The first two are definitely not good for a person's health, and the last ingredient can cause addiction.

Use the data in the table above to make a stem-and-leaf display for milligrams of tar per cigarette smoked. (Enter NONE in any unused answer blanks.)

Are there any outliers?

A. Yes, 1.0 may be an outlier.

B. No, there are no outliers.

C. Yes, 29.8 may be an outlier.

Transcribed Image Text:Brand Tar Nicotine CO Brand Tar Nicotine CO Alpine Benson & Hedges 16.0 Bull Durham 14.1 0.86 13.6 MultiFilter 11.4 0.78 10.2 1.06 16.6 Newport Lights 9.0 0.74 9.5 29.8 2.03 23.5 Now 1.0 0.13 1.5 Old Gold Pall Mall Lights Raleigh Salem Ultra Camel Lights Carlton 8.0 0.67 10.2 17.0 1.26 18.5 4.1 0.40 5.4 12.8 1.08 12.6 Chesterfield 15.0 1.04 15.0 15.8 0.96 17.5 Golden Lights 8.8 0.76 9.0 4.5 0.42 4.9 Kent 12.4 0.95 12.3 Tareyton 14.5 1.01 15.9 Кool 16.6 1.12 16.3 True 7.3 0.61 8.5 1.02 Viceroy Rich Light Virginia Slim Winston Lights L&M 14.9 15.4 8.6 0.69 10.6 Lark Lights 13.7 1.01 13.0 15.2 1.02 13.9 Marlboro 15.1 0.90 14.4 12.0 0.82 14.9 Merit 7.8 0.57 10.0

Use the data in the table above to make a stem-and-leaf display for milligrams of tar per cigarette smoked. (Enter NONE in any unused answer blanks.)
Milligrams of Tar per Cigarette
1
3
4
8
9
10
11
12
13
14
15
16
17
29
Are there any outliers?
O Yes, 1.0 may be an outlier.
O No, there are no outliers.
O Yes, 29.8 may be an outlier.

Expert Solution

Step 1:-

To create stem and Leaf plot for the given data, we arrange the data in ascending order so that it'll be easy to find leaf.

To find outlier we use the following formula,

Lower outlier= Q1-(1.5*IQR)

Where Q1 is first quartile and IQR is interquartile Range.

IQR= Q3-Q1

Where Q3 is Third quartile.

Upper outlier=Q3-(1.5*IQR)

We can calculate these in excel by using =Quartile () command.

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