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Crash Course (sometimes stylized as CrashCourse) is an educational YouTube channel started by John Green and Hank Green (collectively the Green brothers), who became known on YouTube through their Vlogbrothers channel. [2] [3] [4] Crash Course was one of the hundred initial channels funded by YouTube's $100 million original channel initiative.
After a while, Khan's other cousins began to use his tutoring service. Due to the demand, Khan decided to make his videos watchable on the Internet, so he published his content on YouTube. [9] Later, he used a drawing application called SmoothDraw, and now uses a Wacom tablet to draw using ArtRage. The video tutorials were recorded on his ...
Several of the packages also have tutorials. These tutorials help with a basic introduction and learning the basics of the programs. For example, CDC has tutorials about Epi Info. [34] [35] The CDC page also lists a video slide show tutorial from the University of Nebraska, [36] and another site has online training classes. [37]
In an anatomy course incorporating YouTube, 98% of students watched the assigned videos and 92% stated that they were helpful in teaching anatomical concepts. [12] A 2013 study focused on clinical skills education from YouTube found that the 100 most accessible videos across a variety of topics ( venipuncture , wound care, pain assessment, CPR ...
3Blue1Brown is a math YouTube channel created and run by Grant Sanderson. [6] The channel focuses on teaching higher mathematics from a visual perspective, and on the process of discovery and inquiry-based learning in mathematics, which Sanderson calls "inventing math".
Statistics educators have cognitive and noncognitive goals for students. For example, former American Statistical Association (ASA) President Katherine Wallman defined statistical literacy as including the cognitive abilities of understanding and critically evaluating statistical results as well as appreciating the contributions statistical thinking can make.
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Bayesian statistics (/ ˈ b eɪ z i ə n / BAY-zee-ən or / ˈ b eɪ ʒ ən / BAY-zhən) [1] is a theory in the field of statistics based on the Bayesian interpretation of probability, where probability expresses a degree of belief in an event. The degree of belief may be based on prior knowledge about the event, such as the results of previous ...