A researcher administers a treatment to a sample of participants selected from a population with µ = 80. If a hypothesis test is used to evaluate the effect of the treatment, which combination of factors is most likely to result in rejecting the null hypothesis? a. a sample mean near 80 with a=.05b. a sample mean much different than 80 with a=.05c. a sample mean much different than 80 with a=.01d. a sample mean near 80 with a=.01

The answer is "Option c"

Step-by-step explanation:

In the given question, in choice c the numerice value is missing, that is "0.05".

The null hypothesis can only be rejected whether there is enough statistical data than that of the critical values.

The options A and B are not accurate, because the mean test of around 80 means that now the check-in and check number is lower, giving small statistics of the experiment and resulting in the null hypothesis is not rejected. In the C or D is true, however, the importance or alpha level need to be tested Alpha level 0.05 is 5% likely to reject an absolute zero hypothesis so, although 0.01 alpha level is 1% more likely to oppose an absolute zero hypothesis, Therefore, the alpha 0.05 rating is stronger.  

The scale factor of what ?