A university wants to know if a six-week physical activity program improves student stress levels. Students complete a standardized stress questionnaire (multiple item rating scale) one week before the program begins and again immediately after the program ends. The goal of the study is to determine whether stress levels change after participation in the exercise program. Conduct the appropriate statistical test to determine whether there is a significant change in stress levels from before to after the program

A university wants to know if a four-week mindfulness training program reduces student stress levels. Students complete a standardized stress questionnaire (multiple item rating scale) one week before the program begins and again immediately after the program ends. The goal of the study is to determine whether stress levels change after participation in the mindfulness program. Conduct the appropriate statistical test to determine whether there is a significant change in stress levels from before to after the program.

A university wants to know if there is a difference in weekly study hours between undergraduate students who work part-time jobs and those who do not work. Students report the number of hours they studied during the previous week. The goal of the study is to determine whether weekly study time differs between working and non-working students. Conduct the appropriate statistical test to evaluate whether the two groups differ in study hours.

A university wants to know if a peer tutoring program improves final exam scores. At the end of the semester, the researcher collects final exam scores from two groups of students: those who participated in the peer tutoring program and those who did not participate. The goal of the study is to determine whether there is a difference in average exam performance between students who attended tutoring sessions and those who did not. Conduct the appropriate statistical test to evaluate whether there is a significant difference between the two groups.

Model Regresi Linear

This presentation, developed for the Johns Hopkins University Developing Data Products course, provides an interactive multidimensional analysis of the mtcars dataset using Plotly API. This project examines the complex relationships between vehicle weight (wt), horsepower (hp), and fuel efficiency (mpg).