ATC 13.36 "Cry wolf" effect in air traffic controlling. Researchers at Alion Science Corporation and New Mexico State University collaborated on a study of how air traffic controllers respond to false alarms (Human Factors, Aug. 2009). The researchers theorize that the high rate of false alarms regarding midair collisions leads to the "cry wolf" effect, i.e., the tendency for air traffic controllers to ignore true alerts in the future. The investigation examined data on a random sample of 437 con- flict alerts. Each alert was first classified as a "true" or "false" alert. Then, each was classified according to whether there was a human controller response to the alert. The number of the 437 alerts that fall into each of the combined cate- gories is given as follows: True alert/No response-3; True alert/Response-231; False alert/No response-37; False alert/ Response-166. This summary information is saved in the ATC file. Do the data indicate that the response rate of air traffic controllers to midair collision alarms differs for true and false alerts? Test using a = .05. What inference can you make concerning the "cry wolf" effect?
ATC 13.36 "Cry wolf" effect in air traffic controlling. Researchers at Alion Science Corporation and New Mexico State University collaborated on a study of how air traffic controllers respond to false alarms (Human Factors, Aug. 2009). The researchers theorize that the high rate of false alarms regarding midair collisions leads to the "cry wolf" effect, i.e., the tendency for air traffic controllers to ignore true alerts in the future. The investigation examined data on a random sample of 437 con- flict alerts. Each alert was first classified as a "true" or "false" alert. Then, each was classified according to whether there was a human controller response to the alert. The number of the 437 alerts that fall into each of the combined cate- gories is given as follows: True alert/No response-3; True alert/Response-231; False alert/No response-37; False alert/ Response-166. This summary information is saved in the ATC file. Do the data indicate that the response rate of air traffic controllers to midair collision alarms differs for true and false alerts? Test using a = .05. What inference can you make concerning the "cry wolf" effect?
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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Chapter4: Writing Linear Equations
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
Transcribed Image Text:ATC
13.36 "Cry wolf" effect in air traffic controlling. Researchers at
Alion Science Corporation and New Mexico State University
collaborated on a study of how air traffic controllers respond
to false alarms (Human Factors, Aug. 2009). The researchers
theorize that the high rate of false alarms regarding midair
collisions leads to the "cry wolf" effect, i.e., the tendency for
air traffic controllers to ignore true alerts in the future. The
investigation examined data on a random sample of 437 con-
flict alerts. Each alert was first classified as a "true" or "false"
alert. Then, each was classified according to whether there
was a human controller response to the alert. The number
of the 437 alerts that fall into each of the combined cate-
gories is given as follows: True alert/No response-3; True
alert/Response-231; False alert/No response-37; False alert/
Response-166. This summary information is saved in the
ATC file. Do the data indicate that the response rate of air
traffic controllers to midair collision alarms differs for true
and false alerts? Test using a = .05. What inference can you
make concerning the "cry wolf" effect?
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