Since p>0.1, then do not reject the null hypothesis.
There is not enough evidence to conclude there is a difference.
The lower the p-value, the more evidence of rejecting the null hyp. The p-value gives the powest level of significance for which the sample statistic allows you to reject the null hyp.
For a two-tail test, the p value is found by 2(area in tail of test statistic)
The test stat is -0.6614. Look up the corresponding value in the body of the table or by a calculator and we see we get 0.254. 2(.254)=0.508
I have an Excel macro I use for most all my stats needs. I do not go through those cumbersome formulas. It's rather pointless considering the tech we have these days.