From the given question, we did not reject the null hypothsis which makes the answer to this question a type II error
Data:
This is an error done from rejecting the null hypothesis (H_0) when the null hypothesis is true, is known as type I error.
This is an error committed from not rejecting the null hypothesis (H_0) when actually the null hypothesis is false, is known as type II error
Given that the air filter changes are not effective i.e. ȝ = 24.7.
It means that if we do not reject the null hypothesis we shall make a correct decision. So consequently the chance of type II error is impossible because it occurs when we do not reject the null hypothesis, but here not rejecting the null hypothesis will lead to correct decision.
The answer to this question is type II error
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