Statistics and Statistics with R Tutorials (All Videos) | MarinStatsLectures - ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures

ANOVA: F Statistic (Test Statistic) and P-Value: Learn about F statistic, How to interpret F Statistic and P-value in Anova, Degrees of freedom for F Statistic and more with examples! 👉🏼 ANOVA Statistics and with R Video Tutorials( https://bit.ly/2zBwjgL ); 👉🏼 ANOVA: Bonferroni Correction Video (https://youtu.be/pscJPuCwUG0)👍🏼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! What does the F statistic tell you in Anova (One Way Analysis of Variance)? How do you find the F statistic? How to interpret F value and p-value in ANOVA? What is the degree of freedom for F test? What does a large F statistic mean? Find answers to all these questions and more in this video! ▶︎ What is F Statistic and How do you find the F Statistic? The analysis of variance test involves comparing variability explained by group differences (between-group variability) to variability that can not be explained by group differenced (within-group variability). This is done by calculating an F statistic that the ratio of the two. Large values for the test statistic indicate there is likely a difference in means for at least one group. ▶︎ The purpose of ANOVA: One Way Analysis of Variance (ANOVA) is used to compare the means of 3 or more independent groups. ▶︎ ANOVA test Assumptions: The ANOVA test requires assuming independent observations, independent groups, that the variance (or standard deviation) of the two groups being compared are approximately equal or that the sample size for each group is large ▶︎ The video that follows introduces conducting post-hoc multiple comparisons. ▶︎▶︎ Watch More ▶︎ Analysis Of Variance ANOVA in R, Multiple Comparisons in R, Kruskal Wallis in R https://goo.gl/kY4kyE ▶︎ANOVA: Use and Assumptions https://youtu.be/_VFLX7xJuqk ▶︎ ANOVA: Understanding Sum of Squares https://youtu.be/-AeU4y2vkIs ▶︎ ANOVA: Bonferroni Multiple Comparisons Correction https://youtu.be/pscJPuCwUG0 ▶︎ Two-Sample t-test for independent groups https://youtu.be/mBiVCrW2vSU ▶︎ Paired t-test https://youtu.be/Q0V7WpzICI8 ► 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 ►Hypothesis Testing: https://bit.ly/2Ff3J9e ►Linear Regression Concept and with R Lectures https://bit.ly/2z8fXg1 ■ Table of Content: 0:0:23 What is the sum of squares in Anova? 0:0:42 Building up test statistic for ANOVA with an example 0:0:51 Getting familiar with the notations used in test statistic formula 0:1:44 Building the formula for the explained and unexplained sum of squares with an example 0:3:43 Pooled variance for two-sample t-test assuming equal variance and within-group variance, are they the same? 0:5:42 How do you find the F statistic? F Statistic or Test Statistic Formula and Explanation 0:5:08 Hypothesis test and F Statistic 0:7:16 F Distribution explained 0:7:53 How to interpret F value and p-value in ANOVA 0:8:42 What does the F statistic tell you in Anova? 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! #statistics #rprogramming