Answer:
Step-by-step explanation: Type 1 error is the error of rejecting a true null hypothesis or giving a false positive conclusion while type 11 error is the non rejection of a false null hypothesis.
The type 1 error for this question is: The mean CO2 is lower in 2010 than in 2004. While the type 11 error is:The mean C02 is higher in 2010 than In 2004. The consequences of making a type 1 error is that it will lead to a misguided information, while the consequences of making a type 11 error is that it could lead to loss of lives . The appropriate alpha level to use is 0.01, the reason is because the level of confidence needs to be high when it comes to health issues.