Question

1. The quality control manager at a light-bulb factory needs to estimate the mean life of a new type of light-bulb. The population standard deviation is assumed to be 45 hours. A random sample of 37 light-bulbs shows a sample mean life of 470 hours. Construct and explain a 99% confidence interval estimate of the population mean life of the new light-bulb.

Answer #1

The quality control manager at a light-bulb factory needs to
estimate the mean life of a new type of light-bulb. The population
standard deviation is assumed to be 65 hours. A random sample of 40
light-bulbs shows a sample mean life of 505 hours. Construct and
explain a 95% confidence interval estimate of the population mean
life of the new light-bulb.
what size sample would be needed to achieve a margin of error of
15 hours or less?

The quality control manager at a light-bulb factory
needs to estimate the mean life of a new type of light-bulb. The
population standard deviation is assumed to be 50 hours. A random
sample of 35 light-bulbs shows a sample mean life of 490 hours.
Construct and explain a 90% confidence interval estimate of the
population mean life of the new light-bulb. What size sample would
be needed to achieve a margin of error of 15 hours or less? Show
all...

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 98 hours. A random sample of 49 light bulbs
indicated a sample mean life of 300 hours.
(a) Construct a 99% confidence interval estimate for the
population mean life of light bulbs in this shipment.
(Ans.) The 99% confidence interval estimate is from a lower
limit of 263.9 hours to an upper limit 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 98 hours. A random sample of 49 light bulbs
indicated a sample mean life of 300 hours.
Suppose the standard deviation changes to 77 hours. What are
your answers in (a) and (b)?
(Ans.) The 99% confidence interval estimate would be from a
lower limit of 271.7 hours to an upper limit of 328.3...

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 7540 hours. The population
standard deviation is 735 hours. A random sample of 49 light bulbs
indicates a sample mean life of 7,288 hours.
Construct a 95% confidence interval estimate of the population
mean life of the light bulbs?
___ <= MU <= ___ (Round to the nearest whole number as
needed.)

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 91 hours. A random sample of 49 light bulbs
indicated a sample mean life of 290 hours. Complete parts (a)
through (d) below.
A. Construct a 99% confidence interval estimate for the
population mean life of light bulbs in this shipment. The 99%
confidence interval estimate is from a lower limit of [ ]...

the quality control manager at a compact fluorescent light bulb
factory needs to determine whether the mean life of a large
shipment of CFLs is equal to 7506 hours. the population standard
deviation is 900 hours. a random sample of 81 light bulbs indicates
a sample mean life of 7256 hours
A at the 0.05 level of significance, is there evidence that the
mean life is different from 7506 hours
B compute the p value and interpret its meaning
C...

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 7,499 hours. The population
standard deviation is 100 hours. A random sample of 64 light bulbs
indicates a sample mean life of 7,474 hours.
a. At the 0.05 level of significance, is there evidence that
the mean life is different from 7,499 hours?
b. Compute the p-value and interpret its meaning.
c. Construct...

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
7,463 hours. The population standard deviation is 100 hours. A
random sample of 64 light bulbs indicates a sample mean life of
7,438 hours.
a. At the 0.05 level of significance, is there
evidence that the mean life is different from 7,463 hours?
b. Compute the p-value and interpret its
meaning.
c. Construct...

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
7878
hours. A random sample of
3636
light bulbs indicated a sample mean life of
280280
hours. Complete parts (a) through (d) below.
a. Construct a
9595%
confidence interval estimate for the population mean life of
light bulbs in this shipment.The
9595%
confidence interval estimate is from a lower limit of
254.5254.5
hours to...

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