Question

Suppose you're testing whether Drug A significantly improves quality of life for stroke survivors (compared to placebo). At the end of the study, the results shows that Drug A is more effective than the placebo and the p-value is 0.07. Suppose the alpha level you set at the beginning of the study is 0.05. Which of the following is the most appropriate conclusion?

Drug A is effective in improving quality of life for stroke survivor, and the results are likely due to chance

Drug A is effective in improving quality of life for stroke survivor, and the results are not likely due to chance

Drug A is NOT effective in improving quality of life for stroke survivor, and the results are likely due to chance

Drug A is NOT effective in improving quality of life for stroke survivor, and the results are not likely due to chance

Type 2 error (beta)

Random error

Type I error (alpha)

Answer 1

ANSWER.

* The testing results shows p value 0.07 and alpha level 0.05.

         P value(0.07) greater than alpha (0.05) indicate a null hypothesis is true

         and the result is statistically nonsignificant.

    So

        Appropriate conclusion is

                      * Drug A is not effective in improving the quality of life for

                        stroke survivor and the results are likely due to chance.

* It is due to the rejection of a true null hypothesis so the type of error in this

   study is Type 1 error (Alpha).