Question
In: Statistics and Probability
The quality control manager at a light bulb factory needs to determine whether the mean life...
| The quality control manager at a light bulb factory needs to determine whether the mean life of a shipment of light bulbs is equal to 375 hours. The population standard deviation is 100 hours. A random sample of 64 light bulbs indicate a sample mean life of 350 hours. | ||||||||||||||||||
| a. State the null and alternative hypothesis. You can use the symbols tab (after Q5) to copy the symbols you need. | ||||||||||||||||||
| H0: | ||||||||||||||||||
| HA: | ||||||||||||||||||
| b. At the 0.05 level of significance, is there evidence that the mean life is different from 375 hours? Show all the steps! | ||||||||||||||||||
| c. What does a p-value mean for this test? Explain. | ||||||||||||||||||
can you please help me to solve this question on excel ??
Solutions
orchestra answered 1 year agoRelated Solutions
The quality control manager at a light bulb factory needs to determine whether the mean life...
The quality control manager at a light bulb factory needs to
determine whether the mean life of a shipment of light bulbs is
equal to 375 hours. The population standard deviation is 100 hours.
A random sample of 64 light bulbs indicate a sample mean life of
350 hours.
a. State
the null and alternative hypothesis. You can use the symbols tab
(after Q5) to copy the symbols you need.
H0:
HA:
b. At the
0.05 level of significance, is...
The quality control manager at a light bulb factory needs to estimate the mean life of...
The quality control manager at a light bulb factory needs to
estimate the mean life of a large shipment of light bulbs. The
standard deviation is 126 hours. A random sample of
81 light bulbs indicated a sample mean life of 500 hours.
Complete parts? (a) through? (d) below.
a. Construct a 95?% confidence interval
estimate for the population mean life of light bulbs in this
shipment.
The 95?% confidence interval estimate is from a lower limit of
___ hours...
The quality control manager at a light bulb factory needs to estimate the mean life of...
The quality control manager at a light bulb factory needs to
estimate the mean life of a large shipment of light bulbs. The
process standard deviation is known to be 100 hours. A random
sample of 64 light bulbs indicated a sample mean life of 350 hours.
Set up a 95% confidence interval estimate of the true population
mean life of light bulbs in this shipment. Interpret your
confidence interval.
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a. Construct a 95% confidence interval estimate for the
population mean life of light bulbs in this shipment.
The 95% confidence interval estimate is from a lower limit of
___ hours...
TThe quality control manager at a light bulb factory needs to estimate the mean life of...
TThe quality control manager at a light bulb factory needs to
estimate the mean life of a large shipment of light bulbs. The
standard deviation is 108 hours. A random sample of 81 light bulbs
indicated a sample mean life of 410 hours . a. Construct a 99%
confidence interval estimate for the population mean life of light
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The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the...
The quality-control manager at a compact fluorescent light
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a. At the 0.05 level of significance, is there evidence that
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The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the...
The quality-control manager at a compact fluorescent light
bulb (CFL) factory needs to determine whether the mean life of a
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bulbs indicates a sample mean life of 7,231 hours.
a. At the 0.05 level of significance, is there evidence that
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The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the...
The quality-control manager at a compact fluorescent light
bulb (CFL) factory needs to determine whether the mean life of a
large shipment of CFLs is equal to
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random sample of 81 light bulbs indicates a sample mean life of
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a. At the 0.05 level of significance, is there evidence that
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b. Compute the p-value and interpret its meaning.
c. Construct...
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