Question

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 construct a 95% confidence interval estimate of the population mean life of the light bulbs

D compare the results of A and C what conclusions do you reach?

Answer #1

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 compact fluorescent light
bulb (CFL) factory needs to determine whether the mean life of a
large shipment of CFLs is equal to
7,538 hours. The population standard deviation is 92 hours. A
random sample of 6464 light bulbs indicates a sample mean life of
7,515 hours.
a. At the 0.05 level of significance, is there evidence that
the mean life is different from 7,538 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 7,530 hours. The population
standard deviation is 92 hours. A random sample of 64 light bulbs
indicates a sample mean life of 7,507 hours.
a. At the 0.05 level of significance, is there evidence that
the mean life is different from 7,530 hours?
What is/are the critical values?
b. Compute the p-value...

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 7520 hours. The population
standard deviation is 840 hours. A random sample of 64 light bulbs
indicates a sample mean life of 7,258 hours.
a. At the 0.05 level of significance, is there evidence that
the mean life is different from 7520 hours?
b. Compute the p-value and interpret its meaning.
c. Construct...

The quality-control manger at a compact fluorescent light bulb
(CFL) factory needs to determine whether the mean life of a large
shipment of CFLs is equal to 7,500 hours. The population standard
deviation is 1,000 hours. A random sample of 64 CFLs indicates a
sample mean life of 7,250.
a) At the 0.05 level of significance, is there evidence that the
mean life is different from 7,500 hours?
b) Complete the p-value and interpret its meaning.
c) Construct a 95%...

26. 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 7510 hours. The population
standard deviation is 910 hours. A random sample of 49 light bulbs
indicates a sample mean life of 7,302 hours.
At the 0.05 level of significance, is there evidence that the
mean life is different from 7510 hours?
Determine the null hypothesis, and the alternative
hypothesis,
What is...

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 compact fluorescent light bulb
(CFL) factory needs to determine whether the mean life of a larger
shipment of CFL is equal to 7,500 hours.
The population standard deviation is 1,200 hours.
A random sample of 64 CFLs indicates a sample mean life of 7,250
hours.
At the 0.05 level of significance, is there evidence that the
mean life is different from 7,500 hours?

The quality-control manager at a compact fluorescent light bulb
factory need to determine whether the mean life of a large shipment
of bulbs is equal to 7,500 hours. The population standard deviation
is 1,000 hours. A random sample of 64 bulbs indicates a sample mean
life of 7,250 hours.
1. Set the hypothesis, for matching this statement “Is there
evidence that the mean life is difference from 7,500 hours?”
2. At 95% confidence, what is the estimation of population mean...

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