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1 answer:
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Answer:
C) The test provides the convincing evidence that the proportion is greater than 90%, but the actual proportion is equal to 90%.
Step-by-step explanation:
Options are missing from the question. The complete question with its options is shown in the image below.
We need to describe about the Type 1 error. In Statistics there are two main errors: Type 1 error and Type 2 error.
- Type 1 Error occurs when we reject the null hypothesis when infact its true.
- Type 2 Error occurs when we fail to reject the null hypothesis when infact its false.
In the given case the Null Hypothesis is:
The proportion of all washers produced with the specified diameter is equal to 90 percent.
The Type 1 error will occur when the test results will reject the Null hypothesis and accept that the specified diameter is greater than 90% , when infact the Null hypothesis is true and actual proportion is equal to 90%.
Therefore, the correct option will be:
C) The test provides the convincing evidence that the proportion is greater than 90%, but the actual proportion is equal to 90%.
