A statistics course at a large university is taught in each semester. A student has noticed that the students in semester 1 and semester 2 are enrolled in different degrees. To investigate, the student takes a random sample of 25 students from semester 1 and 25 students from semester 2 and records their final marks (%) provided in the table below. Excel was used to generate descriptive statistics on each sample.
Assume that student final marks are normally distributed in each semester. Sample of semester 1 final marks 65854596824555578364536355556276856052885377836771 Sample of semester 2 final marks 45464581524082546065535487566058757753657559636554 Semester 1 Mean Stan dard Error Median Mode Standard Deviation Sample Variance Range Minimum Maximum Sum Count 65.482.679635513.395179.43434588163725 Semester 2 Mean Standard Error Median Mode Standard Deviation Sample Variance Range Minimum Maximum Sum Count 60.962.5136595412.568157.96474087152425 (a) Can we conclude at the 5% level of significance that over 40% of students in the population scored a pass grade in semester 1, where a pass grade is 50% to 64%?
(b) Find the p-value of the test and briefly explain how to use it to test the hypotheses.
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