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# I get lower 95% CI of 0.569 and upper 95% CI of 0.968 for phenotype 1 and lower of

-1.65 and upper of -0.675 for phenotype 2. I calculate these values using student's t distribution to calculate standard error.

Then I using 2000 bootstrap samples instead of the Student's distribution. Then I get my table below.

I wonder in what way do they differ and why does this difference occur?

PHENOTYPE SAMPLE GROUP STANDARD LOWER 95% UPPER 95%
SIZE (N) MEAN ERROR OF CONFIDENCE CONFIDENCE
PER (MEAN) MEAN (SE) LIMIT LIMIT
GROUP (LOWER) (UPPER) RESISTANT 12 0.769 0.0776 0.569 0.968 SUSCEPTIBLE 6 -1.16 0.191 -1.65 -0.672

él PHENOTYPE STANDARD LOWER 95% UPPER 95%
ERROR OF CONFIDENCE CONFIDENCE
MEAN (SE) LIMIT LIMIT
(LOWER) (UPPER) RESISTANT 0.0776 0.619 0.915 SUSCEPTIBLE 0.191 -1.49 -0.825

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