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This post is following of above post.
In this post, I will do ANOVA(Analysis of Variance) with infer package of R.
First, let's check basic statistics by region
average range is from 60.6 to 100.
It seems there is statistically difference by region.
Let's confirm it by ANOVA.
I use "infer" package to do ANOVA.
I refer to Tidy ANOVA (Analysis of Variance) with infer • infer
First, I caluclate observed "F".
Next, I generate null distribution.
Then, I visualize null distibution and observed F statistic.
The red vertical line is the observed F statistic. So, the observed F statistic is far away from null distribution. It means observed F statistic is statistically significant.
Next, let's visualize theoretical distribution.
Next, let's visualize the both null distribution and theoretical distribution.
Next, let's calculate p-value.
p-value is 0. So I can say mean care (%) is different by region with 99.9999% confidence.
I also use pf() function to calculate theoretical p-value.
I did same workflow to check mean value by group.
mean value varies from 74.7 to 93.2.
Observed F stat is 62.7.
Then, I generate null distibution and visualize it.
Then, I visualize theoretical null distribution.
Then, I visualize the both null and theoretical distribution.
Then, I calculate p-value.
p-value is 0 too.
So, I can say average care(%) is different by group with almost 100% confident.
That's it. Thank you!
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