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.
Null Hypothesis
A statistical hypothesis that indicates no effect or no difference in the context of scientific experiments, assuming the observation results from chance.
Control
The use of standardized procedures and conditions in scientific experiments to ensure that changes observed in an experiment are due to the manipulation of the independent variable.