Question

increasing the significance level α up makes it more likely that you will be able to reject H 0 . Sometimes this leads to incorrect rejection of H 0 , even though you followed all the steps of hypothesis testing. Is this an example of a Type I or Type II Error? Explain your reasoning

Answer 1

This example is a type one error. Then question is what is type one error?. Type one error rejected the null hypothesis when it is true. In our example we increasing the value of alpha that is increasing the level of significance we can consider a more error in the data at that time we assume the null hypothesis is equality that is not a different between the any two comparisons means or more means. In this sechuation when your error is large your significance value is increasing at that we rejected null hypothesis when we rejected null hypothesis that is type one error. so my reson this example is type one error.