In the past, the mean running time for a certain type of flashlight battery has been 8.1 hours. The manufacturer has introduced a change in tge production method and wants to perform a hypothesis test to determine whether the mean running time has increased as a result. the hypotheses are below. Identify tge Type 1 error.
Ho: mean = 8.1 hours
Ha: mean > 8.1 hours
A type I error occurs when one rejects the null hypothesis when it is true
In this case, the mean running time for a certain type of flashlight battery has been 8.1 hours
The manufacturer has introduced a change in the production method and he expects the mean running time to change
Only, if it changes, he will incorporate that method. Otherwise, it is useless to implement that method
When H0 is true, which means the mean running time is <=8.1 and he rejects it, he will continue with his new approach to manufacture bulbs assuming that the mean running time has increased
He is at a risk of spending more on the process and getting the same results or even a fall in the mean running time as H0 suggests a (<) symbol as well
This would be the Type-1 error in this scenario
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