The research and null hypothesis in symbols are:
- Research Hypothesis (H1): BAC_roadside > BAC_hospital
- Null Hypothesis (H0): BAC_roadside ≤ BAC_hospital
What is the Hypothesis
The Research Hypothesis (H1) states that the average blood alcohol content (BAC) level measured at the roadside will be higher than the average BAC level measured at the hospital.
Null Hypothesis (H0) states that the average BAC level measured at the roadside will be less than or equal to the average BAC level measured at the hospital.
So, If we fail to reject the null hypothesis, we can conclude that there is not enough evidence to support the claim that roadside BAC tests have higher values than hospital tests. This means that it is possible that the two types of tests measure BAC levels in the same way or that roadside tests actually measure BAC levels lower than hospital tests.
See text below
Research Hypothesis (H1): \( BAC_{roadside} > BAC_{hospital} \)
Null Hypothesis (H0): \( BAC_{roadside} \leq BAC_{hospital} \)
If you fail to reject the null hypothesis, you can conclude that there is not enough evidence to support the claim that roadside BAC tests have higher values than hospital tests.
You hypothesize that blood alcohol content (BAC) tests that are conducted roadside will have higher values than when the same people have their BAC tested at the hospital later on. Put the research and null hypothesis in symbols.
-If you fail to reject your null hypothesis, what can you conclude?