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Given an MLE and an estimate of the least squares mean in the transformed scale, we compute and as follows:

Given a point estimate of the least squares mean in the original scale and an approximation to its variance, we can compute an approximate 100(1–α)% confidence interval for the true mean in the original scale in the usual manner:

where df is the appropriate degrees of freedom. In our case, and due to relatively large sample sizes everywhere, the t critical value can be replaced by the corresponding upper α/2 tail of the standard normal distribution.



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