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Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures
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Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - Bootstrap Confidence Interval with Examples | Statistics Tutorial #36 | MarinStatsLectures

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  • 15.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Bootstrap Confidence Interval: How to Do Confidence Interval with the Bootstrap; the Concept! 👉🏼Related R Video: How to Construct Confidence Interval with Bootstrap with R (https://bit.ly/2Ijnkqv) Bootstrapping in Statistics and with R Video Series: https://bit.ly/2GL6AYS 👍🏼Best Statistics & R 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! in this statistics video, we learn to use the bootstrap to construct confidence intervals while working through examples. ► Bootstrapping in statistics is a resampling based approach useful for estimating the sampling distribution and standard error of an estimate. ► Bootstrapping provides an alternative approach to approaches based on large sample theory (you may recall that many approaches rely on having a large n in order to carry out the method). ► Bootstrapping becomes particularly useful when dealing with more complicated estimates, where their standard error may not be easily calculated. ► Many classes approach make inferences about means/medians, etc. Bootstrapping opens the door to working with much more interesting, and informative estimates. ► ► Watch More: ►Bootstrapping in Statistics and with R Video Series: https://bit.ly/2GL6AYS ►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 ►Linear Regression Concept and with R Lectures 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: 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!

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