Thanks in advance for reading my question.

For my stats class, we have estimate p value using the charts. And then we compare that outcome to alpha to decide if we reject or do not reject null.

For a two-tail test the processor wrote this formula:

2* P(t df>T stat) if Tstat is >O

2* P (T df< Tstat) if tstat is <O

I can't quite figure out the meaning of the above formula.

Even though I was able to solve my homework (see below) I would

still like to know the meaning of the above information.

Thank you.

This is how I solved my homework:

P value by hand:

P [t8 < -3.29) ] change to P[t8 >3.29]

[P(t8 >3.29)] is between .01 and .005

.005 <[P(t8> 3.29] <.01

2*.005=.01 2* .01 = .02

.01< P value < .02

Since .05 is the level of significance, and P value is between .01 and .02, reject the Null Hypothesis.

Yes, there is evidence of a difference in mean summated ratings between the two brands, with a .05 level of significance