When ski jumpers take off, the distance they fly varies considerably depending on their speed, skill, and wind conditions. Event organizers must position the landing area to allow for differences in the distances that the athletes fly. For a particular competition, the organizers estimate that the variation in distance flown by the athletes will be o = 10 meters. An experienced jumper thinks that the organizers are underestimating the variation. What are the appropriate hypotheses for performing this significance test? Ho :o > 10; H. : o = 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho:o < 10; H. : o > 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho : 0 = 10; H. : o < 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho :0 = 10; H. : o 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho :o = 10; H.:o> 10, where o= the true standard deviation of the distance jumped by the ski jumpers.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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When ski jumpers take off, the distance they fly varies considerably depending on their speed, skill, and wind conditions. Event
organizers must position the landing area to allow for differences in the distances that the athletes fly. For a particular
competition, the organizers estimate that the variation in distance flown by the athletes will be o = 10 meters. An experienced
jumper thinks that the organizers are underestimating the variation.
What are the appropriate hypotheses for performing this significance test?
Ho : 6 > 10; H, : o = 10, where o = the true standard deviation of the distance jumped by the ski jumpers.
Ho : o < 10; H. : o 2 10, where o = the true standard deviation of the distance jumped by the ski jumpers.
Ho : o = 10; H : o < 10, where o = the true standard deviation of the distance jumped by the ski jumpers.
Ho : o = 10; H. : o + 10, where o = the true standard deviation of the distance jumped by the ski jumpers.
Ho : o = 10; H : o > 10, where o = the true standard deviation of the distance jumped by the ski jumpers.
Transcribed Image Text:When ski jumpers take off, the distance they fly varies considerably depending on their speed, skill, and wind conditions. Event organizers must position the landing area to allow for differences in the distances that the athletes fly. For a particular competition, the organizers estimate that the variation in distance flown by the athletes will be o = 10 meters. An experienced jumper thinks that the organizers are underestimating the variation. What are the appropriate hypotheses for performing this significance test? Ho : 6 > 10; H, : o = 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho : o < 10; H. : o 2 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho : o = 10; H : o < 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho : o = 10; H. : o + 10, where o = the true standard deviation of the distance jumped by the ski jumpers. Ho : o = 10; H : o > 10, where o = the true standard deviation of the distance jumped by the ski jumpers.
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