Final answer:
Annie should reject the null hypothesis if her p-value is less than alpha, which is set at .05. Conducting a two-tailed test or increasing the sample size are separate considerations that depend on her study's specific requirements.
Step-by-step explanation:
Using alpha = .05, Annie should determine whether to reject or fail to reject the null hypothesis by comparing the p-value from her test statistic to the alpha level. If the p-value is less than alpha, then she should reject the null hypothesis. Conversely, if the p-value is greater than alpha, she should fail to reject the null hypothesis. The decision to conduct a two-tailed test or to increase the sample size depends on the specific context of her study and is not determined solely by the alpha level.
Based on the given information, such as "there is enough evidence to conclude" or "the p-value is less than alpha", the appropriate decision would be to reject the null hypothesis. There is no indication that Annie should conduct a two-tailed test, increase the sample size, or fail to reject the null hypothesis provided that her p-value is indeed less than .05.