Personalized Case Study on Daily Acitivities
With R Markdown and ggplot
In this case study, I meticulously analyze my daily activities, including hours of sleep, class attendance, studying, exercising, and more. Leveraging statistical methods such as Confidence Interval, One Sample t-test, and Two Sample t-test, I gain valuable insights into my routine. Using R Markdown, I present my findings in a structured and reproducible format. Additionally, I enhance data visualization with ggplot, providing clear and insightful graphical representations of the analysis.
This is an overview of the contents.
This shows the confidence interval of the hours spent studying.
In this section, conducted one-sample hypothesis tests for the three variables: hours spent studying, sleeping, and exercising. These tests helped us determine if there were significant differences between the sample means and hypothesized population means.
This bar chart, created using ggplot, illustrates the hours of study across different semesters and their variations