What is the answer and work for question 2? Men's 2015 World Championship – Final Results (top 17 finishers)RankNameNationalityTime (seconds)Great Britain (GBR)Kenya (KEN)Kenya (KEN)Kenya (KEN)United States (USA)Eritrea (ERI)Turkey (TUR)1Mo Farah1621.13Geoffrey KipsangPaul Tanui1621.761622.834Bedan Karoki1624.77Galen Rupp1628.91Abrar Osman1663.21Ali KayaTimothy ToroitichJoshua Kiprui Cheptegei71663.698.Uganda (UGA)1664.90Uganda (UGA)Ethiopia (ETH)Ethiopia (ETH)Bahrain (BHR)Eritrea (ERI)1668.8910Muktar Edris1674.4711Mosinet Geremew1687.5012El Hassan El-AbbassiNguse TesfaldetCameron Levins1692.57131694.7214Canada (CAN)1695.1915Hassan MeadUnited States (USA)1696.30Shadrack KipchirchirArne GabiusUnited States (USA)Germany (GER)161696.30171704.47Women's 2015 World Championship – Final Results (top 17 finishers)RankNameNationalityTime (seconds)Vivian CheruiyotKenya (KEN)1901.31Gelete BurkaEthiopia (ETH)United States (USA)1901.77Emily InfeldMolly HuddleSally Kipyego31903.49United States (USA)Kenya (KEN)United States (USA)41903.581904.426Shalane Flanagan1906.237Alemitu HeroyeEthiopia (ETH)1909.73Betsy SainaBelaynesh OljiraKenya (KEN)Ethiopia (ETH)Netherlands (NED)8.1911.359.1913.01Susan KuijkenJip Vastenburg101914.3211Netherlands (NED)1923.03Portugal (POR)12Sara Moreira1926.1413Kasumi NishiharaJapan (JPN)1932.95Brenda FloresKate Avery14Mexico (MEX)1935.2615Great Britain (GBR)1936.1916Trihas GebreSpain (ESP)Uganda (UGA)1940.87hot17Juliet Chekwel1940.95 Statistics & the Olympic GamesThe 10,000 meters is a standard track event and it is a part of both the Olympic Games and WorldChampionships. A sample from the top 17 finishers of the men's and women's races from the 2015 WorldChampionships are listed in the attached data tables.1. Calculate the mean, median, range, and standard deviation for each data set.You are expected to use at least two (2) technology tools to make your calculations (such as a calculator,Microsoft Excel, etc.).State specifically what technology you used. If you choose to use Microsoft Excel, instructions for thesecalculations can be found here: http://researchbasics.education.uconn.edu/calculatingmeanstandarddev2. Suppose the timing device used in the men's race failed to activate at the start of the race and instead began torecord the times x seconds into the race.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? Wouldthe median you calculated in question #1 be affected? If yes, how? If no, why not?3. Determine who placed 20" in the men's and in the women's 10,000 meter races at the 2016 Summer Olympics inRio de Janeiro.Record the names, nationalities, and times.Be sure to properly cite at least two (2) sources on a Works Cited page.Under Assignment Specifications below, there are some guidelines to help you with citing your sources.4. If both of those 20" place finishers from question #3, had competed in the 2015 World Championships with their2016 Olympic time, where would they have placed?Which one would have done relatively better than the other at the 2015 World Championships? Justifyyour answer mathematically. Consider using more than one method to justify your answer. For assistanceconverting minutes into seconds, view this video: https://www.khanacademy.org/math/4th-engage-ny/engage-4th-module-7/4th-module-7- topic- a/v/time-unit-conversion5. The calculation for standard deviation is accredited to Francis Galton. In three to five sentences, describe the life ofFrancis Galton and specifically why he may have needed a calculation for the standard deviation or variance.

Name: What is the answer and work for question 2? Men's 2015 World Champions
Uploaded: 2024-03-20T06:38:44.000Z
Channel: Bartleby
Description: What is the answer and work for question 2? Men's 2015 World Championship – Final Results (top 17 finishers)RankNameNationalityTime (seconds)Great Britain (GBR)Kenya (KEN)Kenya (KEN)Kenya (KEN)United States (USA)Eritrea (ERI)Turkey (TUR)1Mo Farah1621

2. The time was started to be recorded x seconds into the race, that is, x seconds after the race started.Explanation: Suppose the actual time taken by a randomly chosen competitor to finish the race was actually t seconds, and the time recorded here is tꞌ. As the times given here started to be recorded x seconds into the race, the actual time taken by each competitor was x seconds more than the data displayed here. Hence, the competitors' actual times were more than the recorded times here, by x more seconds. In order to get the actual time of the competitors, x seconds must be added to the recorded times here, that is, t = tꞌ + x. The median of a data set is the observation at the middle-most position of the data set. When x seconds are added to each competitor's time, every time value shifts or increases by x seconds, starting from the lowest value, to the highest value, including all the values in-between. As a result, the relative positions of all the observations still remain the same, although the values have now each increased by x seconds. Hence, the median will not be affected.