One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures

One Way ANOVA (Analysis of Variance) with examples: Learn What one way ANOVA is When to use ANOVA, What are the assumptions of one-way Anova, and ANOVA vs t-test! 👉🏼 ANOVA in R with Free datasets for R and R scripts examples: (https://goo.gl/kY4kyE); ANOVA in statistics and with R Series ( https://bit.ly/2zBwjgL ) 👍🏼Best Statistics & R Tutorials: ( https://goo.gl/4vDQzT )


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In One Way ANOVA (Analysis of Variance) video tutorial we will learn about one way analysis of variance (ANOVA) test, the purpose of ANOVA test, the null hypothesis and alternative hypothesis in ANOVA test, and the required assumptions for One Way ANOVA (Analysis of Variance).

What is the purpose of ANOA test? One Way Analysis of Variance (ANOVA) is used to compare the means of 3 or more independent groups.

What are the assumptions of ANOVA test? The One Way Analysis of Variance (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

What is the non-parametric equivalent of One Way Analysis of Variance (ANOVA)? The non- parametric alternative to ANOVA is Kruskal Wallis One Way Analysis of Variance ((The Kruskal–Wallis test by ranks, Kruskal–Wallis H test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks), and Bootstrap (resampling) approaches are also another alternative to this test

Statistics tutorials that follow this one, introduce the analysis of variance as a concept and explains sum of squares in ANOVA test, the calculation of the test statistic for ANOVA, and conducting post-hoc multiple comparisons.



■ Table of Content

0:00:03 what is ANOVA (Analysis of Variance)?
0:00:39 What is a one-way analysis of variance (one-way ANOVA)?
0:00:57 ANOVA Step by Step with an example
0:02:17 ANOVA test null hypothesis
0:02:44 ANOVA test alternative hypothesis
0:04:19 What are the assumptions for ANOVA test
0:04:22 what are large sample assumptions
0:06:30 when do we use Kruskal-Wallis one-way analysis of variance
0:07:08 What is the difference between ANOVA and two-sample t-test
0:08:10 What is blocking or called stratified assignment in statistics


▶︎▶︎ Watch More

▶︎ R ANOVA Tutorial: https://goo.gl/kY4kyE
▶︎ Analysis of Variance (ANOVA) Statistics and ANOVA with R: https://bit.ly/2zBwjgL
▶︎ Two Sample t-test for independent groups https://youtu.be/mBiVCrW2vSU
▶︎ Paired t-test https://youtu.be/Q0V7WpzICI8
► Intro to Statistics Complete Course: https://bit.ly/2SQOxDH
►Data Science with R Complete Course 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



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