hello,
I am working on fish lengthweight relationship: log W = log a + b log L with a sample size of n = 112. i wonder if i can get some feedback on using jasp summary stats bayesian one sample t test as a substitute for the frequentist t statistic = (b3)/SE = 3.691, where b is the observed regression coefficient, 3 is the isometric value, SE is the standard error of the regression coefficient. The null is there is no difference between the b and 3.
This is what I got using the summary stats Bayesian one sample t test where the alternative is 56 times more likely than the null. cheers
I am working on fish lengthweight relationship: log W = log a + b log L with a sample size of n = 112. i wonder if i can get some feedback on using jasp summary stats bayesian one sample t test as a substitute for the frequentist t statistic = (b3)/SE = 3.691, where b is the observed regression coefficient, 3 is the isometric value, SE is the standard error of the regression coefficient. The null is there is no difference between the b and 3.
This is what I got using the summary stats Bayesian one sample t test where the alternative is 56 times more likely than the null. cheers
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