Explain a hypothesis testing for proportions


Discussion:

Hypothesis Testing for Proportions.

Q. A flash drive manufacturer has set a standard on their production process. When defects exceed 3%, the production process is unacceptable. A random sample of 85 drives is tested. The defective rate is 5.9%. Use a level of significance of α = 0.01 to test to see if you have sufficient evidence to support the claim that the defective rate exceeds 3%.

1. H0 :
   Ha :

2. α =

3. Test statistics:

4. P-value or critical z0 or t0.

5. Rejection Region:

6. Decision:

7. Interpretation:

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Basic Statistics: Explain a hypothesis testing for proportions
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