In a random sample of 45 refrigerators the mean repair cost

In a random sample of 45 refrigerators, the mean repair cost was $142.00 and the standard deviation was $19.50. A 90% confidence interval for the population mean repair cost is (137.22, 146.78). change the sample size to n=90. Construct a 90% confidence interval for the population mean repair cost. Which confidence interval is wider?

Solution

a)

Note that              
Margin of Error E = z(alpha/2) * s / sqrt(n)              
Lower Bound = X - z(alpha/2) * s / sqrt(n)              
Upper Bound = X + z(alpha/2) * s / sqrt(n)              
              
where              
alpha/2 = (1 - confidence level)/2 =    0.05          
X = sample mean =    143          
z(alpha/2) = critical z for the confidence interval =    1.644853627          
s = sample standard deviation =    19.5          
n = sample size =    45          
              
Thus,              
Margin of Error E =    4.78140588          
Lower bound =    138.2185941          
Upper bound =    147.7814059          
              
Thus, the confidence interval is              
              
(   138.2185941   ,   147.7814059   ) [ANSWER]

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b)

Note that              
Margin of Error E = z(alpha/2) * s / sqrt(n)              
Lower Bound = X - z(alpha/2) * s / sqrt(n)              
Upper Bound = X + z(alpha/2) * s / sqrt(n)              
              
where              
alpha/2 = (1 - confidence level)/2 =    0.05          
X = sample mean =    143          
z(alpha/2) = critical z for the confidence interval =    1.644853627          
s = sample standard deviation =    19.5          
n = sample size =    90          
              
Thus,              
Margin of Error E =    3.380964521          
Lower bound =    139.6190355          
Upper bound =    146.3809645          
              
Thus, the confidence interval is              
              
(   139.6190355   ,   146.3809645   ) [ANSWER]

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The confidence interval of n = 45 is wider. [ANSWER]

In a random sample of 45 refrigerators, the mean repair cost was $142.00 and the standard deviation was $19.50. A 90% confidence interval for the population mea

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