For the multiple choice questions, circle the best answer.In hypothesis testing, a Type 1 error occurs when:A. the null hypothesis is not rejected when the alternative hypothesis is true.B. the null hypothesis is rejected when the alternative hypothesis is true.C. the null hypothesis is not rejected when the null hypothesis is true.D. the null hypothesis is rejected when the null hypothesis is true.
Step-by-step explanation: Type 1 error is to reject the null hypothesis ONLY IF p is less than 10. you would not reject the null hypothesis if the alternative hypothesis is true... you would "fail to reject the null hypothesis".
