Intro to Statistics: Hypothesis Testing, Types of Errors, Power | Tutorial 4 | MarinStatsLectures скачать в хорошем качестве

Intro to Statistics: Hypothesis Testing, Types of Errors, Power | Tutorial 4 | MarinStatsLectures

Hypothesis Testing, Types of Errors, Statistical Power Explained! Watch the Whole Series: https://bit.ly/2Ff3gE0 The tutorial reviews Hypothesis Testing for the mean of a population and relevant related concepts, Types of Errors, and Statistical Power. This is the fourth tutorial for SPPH 400: Statistics for Health Research, at The University of British Columbia, School of Population and Public Health. Content Creators: Mary Clare Kennedy (M.A.), Research Associate at UBC, and Lianping Ti (Ph.D.), Assistant Professor at UBC Producer: Mary Clare Kennedy (M.A.) ►► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►R Tutorials for Data Science 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 ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ►Puppet Master of Statistics: https://bit.ly/2RDAAv4 ►SPPH 400 Tutorials: https://bit.ly/2Ff3gE0 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 This statistics tutorial is prepared to support SPPH 400: Statistics for Health Research course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at 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!