Explain the difference between a Type I and Type II error. Be sure to reference rejecting or failing to reject the null hypothesis. What does the P-Value represent?

Facebook: A popular blog reports that 60% of college students log in to Facebook on a daily basis. The Dean of Students at a certain university thinks that the proportion may be different at her university. She polls a simple random sample of 200 students, and 134 of them report that they log in to Facebook daily. Can you conclude that the proportion of students who log in to Facebook daily differs from 0.60?

The null and alternative hypothesis are Ho: = 0.6

Ho:0.6.

The P value is 0.0434. Therefore, we would reject the null hypothesis. What does this conclusion mean based on the context of the data? Interpret this conclusion