FAQ: Hypothesis Testing - ANOVA


This community-built FAQ covers the “ANOVA” exercise from the lesson “Hypothesis Testing”.

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This exercise can be found in the following Codecademy content:

Data Science

FAQs on the exercise ANOVA

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I don’t get it:
In the explanation: “The null hypothesis, in this case, is that all three populations have the same mean … If we reject this null hypothesis (if we get a p-value less than 0.05), we can say that we are reasonably confident that a pair of datasets is significantly different.”
But in the exercise:
With store_b the means are : 58.349636084 65.6262871356 62.3611731859
and p-value is 0.000153411660078 ie we can reject the null hypothesis (see above) and the samples are different.
With store_b_new the means are: 58.349636084 148.354940186 62.3611731859
and p-value is 8.49989098083e-215 ie we cannot reject the null hypothesis (see above) and the samples are basically the same.
Surely that is the wrong way round?