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dsp73
3 years ago
11

An important problem in industry is shipment damage. A windshield factory ships its product by truck and determines that it cann

ot meet its profit expectations if, on average, the number of damaged items per truckload is greater than 12. A random sample of 12 departing truckloads is selected at the delivery point and the average number of damaged items per truckload is calculated to be 9.4 with a calculated sample of variance of 0.64. Select a 99% confidence interval for the true mean of damaged items.
a) [8.682, 10.12]
b) [39.48. -25.66]
c) [11.28, 12.72]
d) L-0.7181.0.7181
e) [8.707, 10.09]
f) None of the above
Mathematics
1 answer:
ioda3 years ago
5 0

Answer:

Option f) None of these

Step-by-step explanation:

We are given the following data set:

Sample size, n = 12

Sample mean  = 9.4

Sample standard deviation = 0.64

Confidence interval:

\bar{x} \pm t_{critical}\frac{s}{\sqrt{n}}

Putting the values, we get,

t_{critical}\text{ at degree of freedom 11 and at}~\alpha_{0.01} = \pm 3.1058

9.4 \pm 3.1058(\frac{0.64}{\sqrt{12}} ) = 9.4 \pm 0.574 = (8.826,9.974)

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