A company produces machined engine parts that are supposed to have a diameter variance no larger than .0002 (diameters measured in inches). A random sample of n = 10 parts gave a sample variance of s² = .0003. Find the p-value of for the test: Ho: ².0002 vs. H₁:²>.0002 Using the computed p-value, what can you conclude about the outcome of a level a = 0.05 hypothesis test?
A company produces machined engine parts that are supposed to have a diameter variance no larger than .0002 (diameters measured in inches). A random sample of n = 10 parts gave a sample variance of s² = .0003. Find the p-value of for the test: Ho: ².0002 vs. H₁:²>.0002 Using the computed p-value, what can you conclude about the outcome of a level a = 0.05 hypothesis test?
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![A company produces machined engine parts that are supposed to have a diameter variance no larger than 0.0002 (diameters measured in inches). A random sample of \( n = 10 \) parts gave a sample variance of \( s^2 = 0.0003 \). Find the \( p \)-value for the test:
\[
H_0: \sigma^2 = 0.0002 \quad \text{vs.} \quad H_a: \sigma^2 > 0.0002
\]
Using the computed \( p \)-value, what can you conclude about the outcome of a level \( \alpha = 0.05 \) hypothesis test?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd7c2748e-5ba1-4f2f-bc7d-c6e1ab8bba12%2Fcd62ca71-dfaa-49f7-ace8-436657673057%2F0hzx2e5_processed.png&w=3840&q=75)
Transcribed Image Text:A company produces machined engine parts that are supposed to have a diameter variance no larger than 0.0002 (diameters measured in inches). A random sample of \( n = 10 \) parts gave a sample variance of \( s^2 = 0.0003 \). Find the \( p \)-value for the test:
\[
H_0: \sigma^2 = 0.0002 \quad \text{vs.} \quad H_a: \sigma^2 > 0.0002
\]
Using the computed \( p \)-value, what can you conclude about the outcome of a level \( \alpha = 0.05 \) hypothesis test?
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