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The Monty Hall Problem or the “three-door puzzle” in Statistics: Learn How to Best Make a Deal with Prof. Mike Marin! 👍🏼Best Statistics & R Programming Language Tutorials: ( https://goo.gl/4vDQzT ) Like to support us? You can Donate ( https://bit.ly/2CWxnP2 ), Share our Videos, Leave us a Comment, Give us a Like or Write us a Review! Either way, We Thank You! The Monty Hall Problem or the “three-door puzzle” in statistics comes from the old TV game show Let’s Make a Deal. In the game, Monty asks you to guess which door a prize is hidden behind. This problem is interesting because the solution is so counter-intuitive that it's tripped up some of the world’s leading mathematicians and people often refuse to accept it. The problem occurs because our statistical assumptions are incorrect. Suppose there are three doors. Behind one door is a great prize, a shiny car. Behind the other two doors is a not-so-good prize, a goat! You get to select one door. Monty will then open another door to show you that there is a goat behind that door. Now you have to choose to keep the door you originally selected, or switch to the other unopened door. From a probability basis, does it make a difference if you keep the original door or switch? When Marilyn vos Savant (Guinness Book of World Records highest IQ) responded to an inquiry on the Monty Hall Problem, she never could’ve imagined what would unfold: though her answer was correct, she received over 10,000 letters, many from scholars and PhDs, informing her that she was an idiot. Common sense indicates that you have an equal chance of the big prize being behind either of the two remaining doors, so there is a 50-50 chance, and from a probability standpoint, it makes no difference if you stay or switch. However, vos Savant claimed that the best strategy was to switch. Here we explain step by step how you can make the best choice working through this famous probability question and think like a genius! ►► Watch More: ► Statistics Course for Data Science https://bit.ly/2SQOxDH ►R Course for Beginners: https://bit.ly/1A1Pixc ►Getting Started with R using R Studio (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R using R Studio (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R using R Studio (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R using R Studio (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R using R Studio (Series 5): https://bit.ly/1iytAtm ►ANOVA Statistics and ANOVA with R using R Studio: https://bit.ly/2zBwjgL ►Hypothesis Testing Videos: https://bit.ly/2Ff3J9e ►Linear Regression Statistics and Linear Regression with R: https://bit.ly/2z8fXg1 Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook: https://goo.gl/qYQavS Twitter: https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Professor Mike Marin, Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn! #statistics #rprogramming
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