The Following Table Shows the Results from a Study to See

The following table shows the results from a study to see if a home remedy ointment for mosquito bites worked better than a placebo. Each participant was randomly assigned to receive the home remedy ointment or the placebo ointment. "Improvement" means no symptoms of itching after three minutes. $\begin{array}{lccc} & \text { Home } & & \\& \text { Remedy } & \text { Placebo } & \text { Total } \\\text { No Improvement } & 2 & 4 & 6 \\\text { Improvement } & 6 & 5 & 11 \\\text { Total } & 8 & 9 & 17\end{array}$
The alternative hypothesis is that the home remedy ointment leads to improvement (in this case, less itching) . The p-value for a one-tailed Fisher's exact test with these data is $0.618$ . Suppose the study had turned out differently, as in the following table.
$\begin{array} { l c c c } & \begin{array} { c } \text { Home } \\ \text { Remedy } \end{array} & \text { Placebo } & \text { Total } \\ \text { No Improvement } & 0 & 6 & 6 \\ \text { Improvement } & 8 & 3 & 11 \\ \text { Total } & 8 & 9 & 17 \end{array}$ Would Fisher's Exact Test have led to a p-value larger or smaller than 0.618?

A) The p-value would be smaller.
B) The p-value would be larger.