I am setting up a 7 x 7 contingency table for a chi-square test of independence of forest tree species (below).
I want to see where the associations are. But note, for example, that if I want to see the association between red oak and white oak (I suspect there is an important one), I...
I have just four numbers and would like to know if there is a stats test that will tell me if one of them does not belong.
Specifically, I'm looking at the fourth one (below) and want to prove that it is significantly different from the other three.
Is this even doable...
Alright thanks for the answer. I'm only glad Excel calculates df automatically in these tests, although I'm troubled that df is not a uniform calculation across all statistics. So my book is fine, and I am more aware now. Learn something new every day.
I have a book on statistics that shows two methods to calculate degrees of freedom, depending on the test.
1) For a correlation test it's df = (# rows - 1) - (# columns - 1);
2) for a chi-square test it's df = (# columns - 1) * (# rows - 1).
I always thought there was only one way to...
Hey I take anything you have to say as important.
The techwalla chart just seems a little too simple compared to all the maths I've come across. Maybe in lieu of "Number Died" I should have multiple columns listing causes of death. With that, maybe multiple regression would be a better tool -...
It's hard to find plain-talk on-line instruction in Survival Analysis, so I turn to you all for guidance.
Attached is a Survival Analysis table that I gleaned from techwalla.com, and adapted to my fictitious oak forest.
Will you please take a look at it and advise me if all is fine, or...
Grande was describing chi-square test of independence when he explained the rules. I assume they apply only to that test. Seems goodness-of-fit tests usually do not have enough contingency cells to apply those rules.
Todd Grande makes the following suggestions on sample size:
At least 80% of the contingency cells must have an expected value > 5
No cell can have an expected value < 3
Ideal sample size is greater than the total number of cells multiplied by 5