Final Answer:
The administrator, based on a significance level of 0.05 and a sample of 50 classes, rejects the null hypothesis, providing evidence that the mean class GPAs are greater than 2.75.
Step-by-step explanation:
In analyzing the data, the administrator conducted a hypothesis test with a significance level of 0.05 on a random sample of 50 classes. The calculated p-value, representing the probability of obtaining results as extreme as the ones observed if the null hypothesis were true, was found to be less than 0.05.
Since the p-value is below the chosen significance level, the null hypothesis is rejected. This implies that there is statistical evidence to support the administrator's belief that the mean class GPAs for the given course are higher than the preferred mean of 2.75.
Understanding hypothesis testing involves comparing the p-value to the significance level, where a lower p-value indicates stronger evidence against the null hypothesis. In this case, the administrator's decision to reject the null hypothesis aligns with the conventional significance level of 0.05.