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?
Universal Screening
A systematic procedure applied to all individuals within a specific group to identify those at risk or displaying certain characteristics, without prior identification.
RTI Approach
Response to Intervention (RTI) is an educational strategy focused on early detection and support for students with learning and behavior needs.
Every Student Succeeds Act
A United States law signed in 2015 that aims to ensure public schools provide a quality education for all children, focusing on accountability, flexibility, and state-specific standards.
ELLs
English Language Learners; individuals who are learning English as a second language in addition to their native language.