{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/48ee0ea22c9c4b14bb7646e948aba3c0\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/48ee0ea22c9c4b14bb7646e948aba3c0-00001.gif","duration":1433.8249999999948,"title":"Biostatistics: Understanding Variables and Measures of Central Tendency","description":"In this Loom, I explain the fundamentals of biostatistics, focusing on variables and measures of central tendency. I discuss how biostatistics combines science and mathematics to analyze data and make informed conclusions. I highlight the importance of understanding variables, including numeric and categorical variables, and how they impact data analysis. Additionally, I delve into measures of central tendency, such as mean, median, and mode, and their strengths and limitations. By the end of this Loom, you will have a solid foundation in biostatistics and be able to apply these concepts to your own research or analysis."}