You feel certain that adding civics classes to voting-eligible adults would improve voter turnout rates. You test the hypothesis that the likelihood of voting increases after taking a civics class. What is the consequences of making a type I error and a type II error when testing your hypothesis between civics classes and the likelihood of voting?
We start by writing the hypothesis.
Null Hypothesis: Adding civics classes to voting-eligible adults would not improve or bring any change in voter turnout rates.
This is because the civics classes are added previously they weren't.So we would test the above claim against improved rates claim.
Alternative Hypothesis: Adding civics classes to voting-eligible adults would improve in voter turnout rates.
Type 1 error: Rejecting the null hypothesis when it is true.
Therefore in our case, it is
Concluding based on the test that adding civics classes to voting-eligible adults improved in voter turnout rates even though it didn't.
Type 2 error:Accepting the null hypothesis when it is false
Therefore in our case, it is
Concluding based on the test that adding civics classes to voting-eligible adults didn't improve in voter turnout rates when in reality it did improve.
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