Final answer:
To conclude a hypothesis test, the p-value is compared to alpha (0.05). If the p-value is less than alpha, reject the null hypothesis; if greater, fail to reject it.
Step-by-step explanation:
The question is asking for the conclusion of a hypothesis test where the preferences of chicken or turkey based on gender were surveyed. Although the picture with the summarized data is not provided, the decision for a hypothesis test generally relies on comparing the p-value to the significance level (alpha). When the p-value is less than alpha, which signals a significant result, we reject the null hypothesis. If the p-value is greater than alpha, we fail to reject the null hypothesis, indicating insufficient evidence against it. In our case, we would compare the survey's p-value to the given alpha of 0.05 to reach a conclusion.