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Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures
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Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - Hypothesis Testing: Calculations and Interpretations| Statistics Tutorial #13 | MarinStatsLectures

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  • 15.3 hours of video
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  • Access on mobile and TV

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Hypothesis Testing: Calculations and Interpretations (One Sample t Test) with Examples. How is Hypothesis tested? What is one sample t test (student’s t test)? What are the components of a hypothesis test? What is a significant result? 👉🏼 Related: One Sample t test in R Video: (https://bit.ly/2PDkXjC); Hypothesis Testing vs Confidence Interval Video: (https://goo.gl/2Y43dp ); Paired t Test in R Video: ( https://youtu.be/yD6aU0fY2lo ) 👍🏼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 and Give us a Like! Either way We Thank You! In this statistics video lecture, we discuss the process of testing a hypothesis, using a One Sample t test (Student’s t test). We will define the null and alternative hypothesis, alpha or significance values and p-values. We will work through calculating a hypothesis test for the mean and the interpretations of a hypothesis test (interpreting significant results). We also stress the importance of providing a confidence interval along with a hypothesis test. We will focus on the concepts, and not the calculations. ►► 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: 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 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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