Step 1 :The null hypothesis is that the mean enjoyment rating for stories with spoilers is the same as the mean enjoyment rating for the original stories. The alternative hypothesis is that the mean enjoyment rating for stories with spoilers is less than the mean enjoyment rating for the original stories.
Step 2 :The p-value is the probability of obtaining the observed data (or data more extreme) if the null hypothesis is true.
Step 3 :If the p-value is less than the significance level (alpha), we reject the null hypothesis in favor of the alternative hypothesis. If the p-value is greater than alpha, we fail to reject the null hypothesis.
Step 4 :In this case, the p-value is 0.8428 and alpha is 0.05. Since the p-value is greater than alpha, we fail to reject the null hypothesis.
Step 5 :\(\boxed{\text{Final Answer: Fail to reject the null hypothesis } \left(\mathrm{H}_{0}\right)}\)