The breaking strengths of cables produced by a certain manufacturer have a mean,  μ , of  1850  pounds, and a standard deviation of  50  pounds. It is claimed that an improvement in the manufacturing process has increased the mean breaking strength. To evaluate this claim,  100  newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be  1864  pounds. Can we support, at the  0.1  level of significance, the claim that the mean breaking strength has increased? (Assume that the standard deviation has not changed.) Perform a one-tailed test. Then fill in the table below. Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table. The null hypothesis:

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The breaking strengths of cables produced by a certain manufacturer have a mean
μ
, of 
1850
 pounds, and a standard deviation of 
50
 pounds. It is claimed that an improvement in the manufacturing process has increased the mean breaking strength. To evaluate this claim, 
100
 newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be 
1864
 pounds. Can we support, at the 
0.1
 level of significance, the claim that the mean breaking strength has increased? (Assume that the standard deviation has not changed.)

Perform a one-tailed test. Then fill in the table below.

Carry your intermediate computations to at least three decimal places, and round your responses as specified in the table.

The null hypothesis:
H0:
 
The alternative hypothesis:
H1:
 
The type of test statistic: (Choose one)ZtChi squareF      
     
The value of the test statistic:
(Round to at least three decimal places.)
 
The p-value:
(Round to at least three decimal places.)
 
Can we support the claim that the mean breaking strength has increased?
 
Yes
 
 
No
 
 
 
 
 
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