Answer:
Explanation:
To determine if the data give convincing evidence at the alpha = 0.05 significance level that the counselor's belief is correct, we can conduct a hypothesis test.
The null hypothesis is that the proportion of students at the school who have sent or posted suggestive images is equal to 20%, which is the national figure.
The alternate hypothesis is that the proportion of students at the school who have sent or posted suggestive images is greater than 20%
Using a one-sample proportion test and assuming the conditions are met, we can calculate the test statistic and p-value. The p-value can then be compared to the significance level (alpha) to determine if the results are statistically significant. If the p-value is less than the significance level, we can reject the null hypothesis and conclude that the counselor's belief is correct.
Otherwise, we fail to reject the null hypothesis and we cannot conclude that the counselor's belief is correct.