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 fin al marks 69894996824559578364536359596276896092885377836771 Sample of semester 2 fin al marks 49464581924082546069935487966058797753697959636954 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 Can we conclude at the 5% significance level that the variance of semester 2 student's final marks is greater than 150?
Invincibility Fable
A cognitive bias often found in adolescents, believing themselves to be immune to common dangers.
Distribution
In statistics, the way in which data points are spread out across the scale of measurement.
Percentiles
Scores that indicate the percentage of scores in a distribution that a particular score is above or below.
Scores
Numerical representations of performance or achievement in educational settings, standardized tests, or other assessments.