One problem facing the manager of maintenance departments is when to change the bulbs in streetlamps. If bulbs are changed only when they burn out, it is quite costly to send crews out to change only one bulb at a time. This method also requires someone to report the problem and, in the meantime, the light is off. If each bulb lasts approximately the same amount of time, they can all be replaced periodically, producing significant cost savings in maintenance. Suppose that a financial analysis of the lights at Yankee Stadium has concluded that it will pay to replace all of the light bulbs at the same time if the variance of the lives of the bulbs is less than 200 hours². The lengths of life of the last 100 bulbs were recorded. What conclusion can be drawn from these data? Use a 5% significance level.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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1996
1994
1991
1999
1978
1979
2013
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2007
1990
2014
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1997
1997
1981
1988
2001
1993
2002
2009
1985
1985
2006
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2020
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1992
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1970
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2029
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2031
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1994
1991
2001
1981
1994
1983
1978
2003
2002
2001
2009
2004
2006
1989
2016
1988
2035
1978
2005
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1978
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1998
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1993
1989
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1977
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Above is the excel data and use excel to solve with explanation and write a conclusion at the end, thanks

 
One problem facing the manager of maintenance departments is when to change the
bulbs in streetlamps. If bulbs are changed only when they burn out, it is quite costly to send crews
out to change only one bulb at a time. This method also requires someone to report the problem and,
in the meantime, the light is off. If each bulb lasts approximately the same amount of time, they can
all be replaced periodically, producing significant cost savings in maintenance. Suppose that a
financial analysis of the lights at Yankee Stadium has concluded that it will pay to replace all of the
light bulbs at the same time if the variance of the lives of the bulbs is less than 200 hours². The
lengths of life of the last 100 bulbs were recorded. What conclusion can be drawn from these data?
Use a 5% significance level.
Transcribed Image Text:One problem facing the manager of maintenance departments is when to change the bulbs in streetlamps. If bulbs are changed only when they burn out, it is quite costly to send crews out to change only one bulb at a time. This method also requires someone to report the problem and, in the meantime, the light is off. If each bulb lasts approximately the same amount of time, they can all be replaced periodically, producing significant cost savings in maintenance. Suppose that a financial analysis of the lights at Yankee Stadium has concluded that it will pay to replace all of the light bulbs at the same time if the variance of the lives of the bulbs is less than 200 hours². The lengths of life of the last 100 bulbs were recorded. What conclusion can be drawn from these data? Use a 5% significance level.
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