Wikipedia table of the 20 fastest runners recorded for the 5000 meter race

Below is a Wikipedia table of the 20 fastest runners recorded for the 5000 meter race. The rank, time, runner’s name and country, date of race, and venue of race are given. Use this information to answer the questions which follow.

1 12:35.36  Joshua Cheptegei (UGA) 14 August 2020 Monaco
2 12:37.35  Kenenisa Bekele (ETH) 31 May 2004 Hengelo
3 12:39.36  Haile Gebrselassie (ETH) 13 June 1998 Helsinki
4 12:39.74  Daniel Komen (KEN) 22 August 1997 Brussels
5 12:43.02  Selemon Barega (ETH) 31 August 2018 Brussels
6 12:45.82  Hagos Gebrhiwet (ETH) 31 August 2018 Brussels
7 12:46.53  Eliud Kipchoge (KEN) 2 July 2004 Rome
8 12:46.79  Yomif Kejelcha (ETH) 31 August 2018 Brussels
9 12:46.81  Dejen Gebremeskel (ETH) 6 July 2012 Saint-Denis
10 12:47.04  Sileshi Sihine (ETH) 2 July 2004 Rome
11 12:47.20  Mohammed Ahmed (CAN) 10 July 2020 Portland
12 12:48.63  Jacob Kiplimo (UGA) 8 September 2020 Ostrava
13 12:48.64  Isaiah Kiplangat Koech (KEN) 6 July 2012 Saint-Denis
14 12:48.66  Isaac Songok (KEN) 18 August 2006 Zürich
15 12:48.77  Yenew Alamirew (ETH) 6 July 2012 Saint-Denis
16 12:48.81  Stephen Cherono (KEN) 12 June 2003 Ostrava
17 12:49.04  Thomas Pkemei Longosiwa (KEN) 6 July 2012 Saint-Denis
18 12:49.28  Brahim Lahlafi (MAR) 25 August 2000 Brussels
19 12:49.50  John Kipkoech (KEN) 6 July 2012 Saint-Denis
20 12:49.71  Mohammed Mourhit (BEL) 25 August 2000 Brussels

1.If I randomly select a runner from the list above, what is the probability that runner is from Kenya?

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Select one:

2.What is the probability that the race was run in Brussels?

Select one:

If the probability of a runner being from Kenya and the race venue being Brussels are independent, what is the probability that I would randomly select a Kenyan runner whose race was run in Brussels?

Select one:

What is the actual probability of being a Kenyan runner at the Brussels venue?

Select one:

The actual probability of “Kenya” and “Brussels” being coincident is much lower than we’d expect if the two events were independent: .30.35=.105.30∗.35=.105. This difference implies that the two events are not independent.

I want you to think about characteristics of college students. What characteristic do you think might be independent of their completing their bachelors degree? What characteristic do you think might not be independent of their completing their bachelors degree?

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