Machines at a bottling plant are set to fill bottles to 12 ounces. The quality control officer at the plant periodically tests the machines to be sure that the bottles are filled to an appropriate amount. The null hypothesis of the test is that the mean is at least 12 ounces. The alternative hypothesis is that the mean is less than 12 ounces. What are the possible types of errors that could be made from this test?

A Type I error occurs if the test finds evidence for an alternative hypothesis that is actually false. In this case, the actual mean fill amount is at least 12 ounces, but the test indicates the mean is less than 12 ounces.

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sohail09753 sohail09753 · Answer 2 · 2021-11-30T11:33:33+01:00

Hypothesis in the context of hypothesis is a testing tool that analyzes and observes the modeled data based upon the realized values from the large group of data.

The possible type of error from the test can be:

Option D) The test provides convincing evidence that the mean is less than 12 ounces, but the actual mean is at least 12 ounces.

In the given test there is the occurrence of Type I error. It is a kind of fault that is occurring during the hypothesis testing process when the null hypothesis is rejected even if the amounts and components of the test are accurate and should not be rejected.

To know more about the hypothesis, refer to the link:

https://brainly.com/question/23056080