Answer:
The null hypothesis would not be rejected at an alpha level of 0.25.
Step-by-step explanation:
When performing a hypothesis test, the alpha level (also known as the significance level) is the threshold for determining whether the null hypothesis should be rejected. If the p-value (the probability of observing the data given that the null hypothesis is true) is greater than the alpha level, then the null hypothesis is not rejected.
In your question, you stated that the null hypothesis was not rejected at an alpha level of 0.05, which means that the p-value was greater than 0.05. If you increase the alpha level to 0.25, this means that you are setting a higher threshold for rejecting the null hypothesis. Therefore, if the null hypothesis was not rejected at an alpha level of 0.05, it will also not be rejected at an alpha level of 0.25.