about account add arrow-down arrow-left arrow-right arrow-up back-arrow book-mobile book categories chat-bubble-mobile chat-bubble close college contact-us credit-card drag email-square facebook-mobile facebook-square facebook faq film history home load modal-error person pinterest-square play-mobile play queue remove resume search share show star tag tick trailer trash twitter-mobile twitter-square twitter university warning warning youtube-square

Models of Distributions—Shapely Families

Lecture no. 5 from the course: Meaning from Data: Statistics Made Clear

Models of Distributions—Shapely Families

Taught by Professor Michael Starbird | 32 min | Categories: The Great Courses Plus Online Mathematics Courses

Any shaped curve can model a data set. This lecture looks at skewed and bimodal shapes, and describes other characteristically shaped classes of distributions, including exponential and Poisson. Each shape arises naturally in specific settings.


October 10, 2016
Prof Starbird took too much time to explain every concept or term. Up until the 11th minute, he only managed to finish explaining about uniform distribution. It gets very boring to listen to him, especially that 21st century learning is no longer 'teacher-oriented'. I know 'student-oriented' learning could not be applied extensively in online courses, but I need more graphics to learn better. And the explanation should not drag on (e.g. the instructor do not need to 'read' the graph, because students can do it themselves. Instead, really zoom in on the most important point).