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I'm looking for a suitable statistical test for my situation. The best way I can think of describe it is a Chi-Squared test for continuous data. Please tell me otherwise.

Here is a made up scenario: Say we spend a few days observing whales and sharks in the Atlantic and Indian oceans. Here are the counts in a contingency table:

|          |Atlantic |Indian |Total |
|----------|---------|-------|------|
| whales   | 8       | 2     | 10   |
| sharks   | 1       | 5     | 6    |
|----------|---------|-------|------|
| Total:   | 9       | 7     | 16   |

Here I use the Chi-squared test to determine if the number of whales/sharks are independent to ocean location.

Lets say now I consider another metric: average weight of the animals. Here again is the table:

|          |Atlantic |Indian |Avg.  |
|----------|---------|-------|------|
| whales   | 6.9     | 7.2   | 7.1  |
| sharks   | 2.3     | 2.9   | 2.5  |
|----------|---------|-------|------|
| Avg.:    | 4.3     | 5.4   | 4.9  |

Instead of totals, I now have averages for the total of the populations along the side and last row. Here is my question: is the average weight of an animal independent to the ocean? Which test do I use now?

Just as a side note, the population sizes of each category might be very uneven such as a ratio of 1:999.

Thank you for your help in advance.

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The question you are asking could be answered by performing what is very often called a 2-way ANOVA (also called two factor analysis of variance in Zar's Biostatistical Analysis).

Side comment: What I find very interesting in the way you ask your question is that indeed there are striking similarities between a 2-way ANOVA and a $\chi^2$ test.

In order to use the method, we need more information that what is available in the "mean" table: in order to calculate the statistic of the test, we also need to be able to compute the variability within each cell, and the total variability.

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  • $\begingroup$ I would be very greatful if you could show how I could apply the example to the test $\endgroup$ – joshlk Feb 29 '16 at 11:02
  • $\begingroup$ If I had the averages and variability pre-calculated, do you how could I perform the test using R or Python? $\endgroup$ – joshlk Mar 1 '16 at 11:10
  • $\begingroup$ Do you have all the values, then? $\endgroup$ – Vincent Guillemot Mar 1 '16 at 13:23
  • $\begingroup$ Yes. But it may be easier if I can just input the mean and variability (thanks for you help) $\endgroup$ – joshlk Mar 1 '16 at 13:54

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