Suppose you are spinning pennies to test whether you get biased results. When you reject the null hypothesis when it is actually true, that is often called the first kind of error. The second kind of error is when the null is false and you fail to reject. Report the first kind of error and the second kind of error

The null hypothesis is that the penny is (not biased/biased). The first kind of error is saying the penny is ...,,(biased/not biased) when in fact the penny is (biased/not biased). The second kind of error is saying the penny
Is (not biased/biased) when in fact the penny is (biased/not biased)