- Thread starter Jerryjosh1
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I am sorry, but the question does not make sense.

One cannot say that a parameter or some

aggregated data are by itself "statistically significant".

You have to specify a comparison for the working

hypothesis first, such as "the means of the 2 status

groups are the same [in the population]" or "the

correlation coefficient is zero [in the population]"

or "the proportion of black-haired people is higher

than the proportion of people with other hair

colours". So, which comparison(s) do you want

to make here?

With kind regards

Karabiner

One cannot say that a parameter or some

aggregated data are by itself "statistically significant".

You have to specify a comparison for the working

hypothesis first, such as "the means of the 2 status

groups are the same [in the population]" or "the

correlation coefficient is zero [in the population]"

or "the proportion of black-haired people is higher

than the proportion of people with other hair

colours". So, which comparison(s) do you want

to make here?

With kind regards

Karabiner

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It's kind of difficult for me to properly use statistics language because of my medical education. I have recently studied only the basics, but usually I recognize type/way of testing hypothesis (frequencies chi xtest, paired group t test etc.). Is there any chance to simply use these numbers in formula for any specific test or we need more data? Maybe "statistically significant" was bad choice of words.