Suppose the timing device used in the men’s race failed to activate at the start of the race and instead began to record the times x seconds into theConsider how the competitors’ times would be affected.Would the x seconds be added to or subtracted from the times recorded to find the true times? Would the median you calculated in question #1 be affected? If yes, how? If no, why not? Men's 2019 World Championship - Final Results (top 17 finishers)¹RanNameNationalityk1234567891011121314151617Joshua CheptegeiYomif KejelchaRhonex KiprutoRodgers KwemoiAndamlak BelihuMohammed AhmedLopez LomongYemaneberhan CrippaHagos GebrhiwetShadrack KipchirchirSondre Nordstad MoenLeonard KorirSoufiane BouchikhiAron KifleRodrigue KwizeraAbdallah Kibet MandeOnesphoreNzikwinkundaUganda (UGA)Ethiopia (ETH)Kenya (KEN)Kenya (KEN)Ethiopia (ETH)Canada (CAN)United States (USA)Italy (ITA)Ethiopia (ETH)United States (USA)Norway (NOR)United States (USA)Belgium (BEL)Eritrea (ERI)Burundi (BDI)Uganda (UGA)Burundi (BDI)Time(seconds)1608.361609.341610.321615.361616.711619.351624.721630.761631.371644.741682.181685.731695.431696.741701.921710.491751.50

The data for the time recorded for 17 men is given.

Answered: Suppose the timing device used in the…

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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Suppose the timing device used in the men’s race failed to activate at the start of the race and instead began to record the times x seconds into the

Consider how the competitors’ times would be affected.

Would the x seconds be added to or subtracted from the times recorded to find the true times? Would the median you calculated in question #1 be affected? If yes, how? If no, why not?

Men's 2019 World Championship - Final Results (top 17 finishers)¹
Ran
Name
Nationality
k
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
Joshua Cheptegei
Yomif Kejelcha
Rhonex Kipruto
Rodgers Kwemoi
Andamlak Belihu
Mohammed Ahmed
Lopez Lomong
Yemaneberhan Crippa
Hagos Gebrhiwet
Shadrack Kipchirchir
Sondre Nordstad Moen
Leonard Korir
Soufiane Bouchikhi
Aron Kifle
Rodrigue Kwizera
Abdallah Kibet Mande
Onesphore
Nzikwinkunda
Uganda (UGA)
Ethiopia (ETH)
Kenya (KEN)
Kenya (KEN)
Ethiopia (ETH)
Canada (CAN)
United States (USA)
Italy (ITA)
Ethiopia (ETH)
United States (USA)
Norway (NOR)
United States (USA)
Belgium (BEL)
Eritrea (ERI)
Burundi (BDI)
Uganda (UGA)
Burundi (BDI)
Time
(seconds)
1608.36
1609.34
1610.32
1615.36
1616.71
1619.35
1624.72
1630.76
1631.37
1644.74
1682.18
1685.73
1695.43
1696.74
1701.92
1710.49
1751.50

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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