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What is a Hypothesis Test and a P-Value? Explained by the Puppet Master of Statistics! Find the web visualizations here:( https://bit.ly/2Tr9CIR ); 👍🏼Best Statistics & R Programming Videos: https://goo.gl/4vDQzT ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment, Write Us a Review and Give us a Thumbs up! Either way We Thank You! In this statistics video tutorial, we learn in a fun and playful way the concept of a hypothesis test, as it applies to the population mean. This video provides a fun introduction to the concept of a hypothesis test, and its use in statistical inference. Hypothesis testing works by first specifying a Null Hypothesis and an Alternative Hypothesis. The Null hypothesis is generally a statement of “no change” or “nothing interesting happening here”, while the Alternative hypothesis is generally what we are interested in “proving”, or more correctly, what we are interested in “providing evidence for”. Hypothesis tests generally start by assuming the Null hypothesis to be true and then proceed to work out how likely we would have been to observed what we did in our sample (the sample statistic or sample mean in this case) if the Null hypothesis were in fact true. This “how likely we were to observe it” is known as a p-value. ► ► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►Data Science with R https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Hypothesis Testing: https://bit.ly/2Ff3J9e 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: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), 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!
